PUBLICATIONS

JOURNAL ARTICLES

1. V. D. Calhoun, T. Adali, K. A. Kiehl, R. Astur, J. J. Pekar, G. D. Pearlson, A Method for Multi-task fMRI data fusion applied to schizophrenia,'' to appear Human Brain Mapping.
2. V. D. Calhoun, T. Adali, G. D. Pearlson, K. A. Kiehl, Neuronal chronometry of target detection: Fusion of hemodynamic and event-related potential data,'' to appear Neuroimage.
3. W. Xi, T. Adali, and J. Zweck, A MAP equalizer for the optical communications channel,'' to appear Journal of Lightwave Tech., Nov. 2005.
4. J. Xuan, Y. Wang, Q. Zheng, and T. Adali, Discontinuity-embedded deformable models for surface reconstruction from range images,'' to appear IEEE Signal Proc. Letts.
5. V. D. Calhoun, T. Adali, N. R. Giuliani, J. J. Pekar, G. D. Pearlson, K. A. Kiehl, Method for multimodal analysis of independent Source differences in schizophrenia: combining gray matter structural and auditory oddball functional data,'' to appear Human Brain Mapping.
6. V. D. Calhoun, T. Adali, M. Stevens, K. Kiehl and J. J. Pekar, Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis,'' to appear Neuroimage.
7. T. Adali and H. Ni, Partial likelihood for online order selection,'' Signal Processing, Special Issue on Information Theoretic Signal Processing, vol. 85, no. 5, pp. 917-926, May 2005 (invited).
8. W. Wang and T. Adali, Eigenanalysis of autocorrelation matrices in the presence of noncentral and signal-dependent noise,'' IEEE Signal Proc. Letts. , vol. 12, no. 2, pp. 85-88, Feb. 2005.
9. V. D. Calhoun, T. Adali, and J. J. Pekar, A Method for comparing group fMRI data using independent component analysis: Application to visual, motor, and visuomotor tasks,'' Magnetic Resonance in Medicine, vol. 22, pp. 1181--1191, 2004.
10. V. D. Calhoun, T. Adali, G. D. Pearlson, Independent component analysis applied to fMRI data: A generative model for validating results,'' to appear VLSI Signal Processing Systems for Signal, Image, and Video Technology, Double Special Issue: Biomedical and Communications Applications of Neural Networks, vol. 37, no. 2/3, June/July 2004.
11. B. Wang and T. Adali, A frequency-domain training approach for equalization and noise suppression in discrete multitone systems,'' Signal Processing, vol. 84, no. 2, pp. 327-339, 2004.
12. T. Adali and H. Ni, Partial likelihood for real-time signal processing,'' IEEE Trans. Signal Proc., vol. 51, no. 1, pp. 204-212, Jan. 2003.
13. T. Kim and T. Adali, Approximation by fully-complex multilayer perceptrons,'' Neural Computation, vol. 15, no. 7, pp. 1641-1666, July 2003.
14. Y. Cai, J. M. Morris, T. Adali, and C. R. Menyuk, On turbo code decoder performance in optical fiber communication systems with dominating ASE noise,'' IEEE/OSA Journal of Lightwave Tech., vol. 21, no. 3, pp. 727-734, March. 2003.
15. A. O. Lima, I. T. Lima, Jr., C. R. Menyuk, and T. Adali, "Comparison of power penalties due to first- and all-order PMD distortions in optical fiber transmission systems," Optics Letts, vol. 28, no. 5, pp. 310-312, 2003.
16. V. D. Calhoun, T. Adali, J. J. Pekar, G. D. Pearlson, Latency (in)sensitive ICA: Group Independent Component Analysis of fMRI Data in the Temporal Frequency Domain,'' Neuroimage, vol. 20, no. 3, pp. 1661-1669, Nov. 2003.
17. Y. Cai, T. Adali, J. M. Morris, and C. R. Menyuk, Sliding window criterion codes and concatenation scheme for mitigating timing jitter induced errors in WDM optical fiber transmissions,'' IEEE/OSA Journal of Lightwave Tech., vol. 20, no. 2, pp. 201-212, Feb. 2002.
18. A. O. Lima, I. T. Lima, Jr., T. Adali, and C. R. Menyuk, A novel polarization diversity receiver for PMD mitigation,'' IEEE Photonics Technology Letters, vol. 14, no. 4, pp. 465-467, April 2002.
19. V. D. Calhoun, T. Adali, G. D. Pearlson, P. C. M. van Zijl, and J. J. Pekar, Independent component analysis of fMRI data in the complex domain,'' Magnetic Resonance in Medicine, vol. 48, pp. 180-192, 2002.
20. T. Kim and T. Adali, Fully complex multilayer perceptron for nonlinear signal processing,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 32, pp. 29-43, Aug.-Sep. 2002.
21. V. D. Calhoun, J. J. Pekar, V. B. McGinty, T. Adali, T. D. Watson, and G. D. Pearlson, Different activation dynamics in multiple neural systems during simulated driving,'' Human Brain Mapping, vol. 16, no. 3, July 2002.
22. J. Xuan, T. Adali, Y. Wang, W. Hayes, J. Lynch, M. Freedman, and S. K. Mun, A computerized simulation system for prostate needle biopsy,'' Simulation and Gaming, Special issue on Medical and Healthcare Simulation, Part 2, vol. 32, no. 3, pp. 391-403, Sep. 2001.
23. Y. Wang, T. Adali, J. Xuan, Z. Szabo, Magnetic resonance image analysis by information theory and stochastic site model,'' IEEE Trans. Information Technology in Biomedicine, vol. 5, no. 2, pp. 150-158, June 2001.
24. V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, Spatial versus temporal independent component analysis of functional MRI data containing a pair of task-related waveforms,'' Human Brain Mapping, vol. 13, pp. 43-53, 2001.
25. V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, A method for making group inferences from functional MRI data using independent component analysis,'' Human Brain Mapping, vol. 14, pp. 140-151, 2001.
26. V. D. Calhoun, T. Adali, V. McGinty, J. Pekar, T. Watson, and G. Pearlson, fMRI activation in a visual perception task: network of areas detected using the general linear model and independent component analysis, Neuroimage, 2001.
27. J. Xuan, T. Adali, Y. Wang, and E. Siegel, Automatic detection of foreign objects in computed radiography,'' Journal of Biomedical Optics. vol 5, no. 4, pp. 425-431, Oct. 2000.
28. V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, A weighted least squares algorithm for estimation and visualization of real event related functional MRI,'' Magnetic Resonance in Medicine, vol. 44, pp. 947-954, 2000.
29. H. Ni, T. Adali, B. Wang, and X. Liu, A general probabilistic formulation for supervised neural classifiers,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 141-153, Aug. 2000, (invited).
30. T. Adali and S. H. Ardalan, On Steady-state performance of the fixed-point RLS algorithm,'' Computers and Electrical Engineering, vol. 25, no. 1, pp. 1-16, Jan. 1999.
31. T. Adali, B. Bakal, M. K. Sönmez, and R. Fakory, NOx and CO prediction with variable tapped delay line neural networks,'' Journal of Integrated Computer-Aided Engineering, Special Issue on Neural Techniques for Industrial Applications, vol. 6, no. 1, pp. 27-39, 1999.
32. T. Adali, Y. Wang, and N. Gupta, A block-wise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences,'' International Journal of Imaging Systems, Special Issue on Image Sequence Processing, vol. 9, pp. 340-350, Oct. 1998.
33. Y. Wang, T. Adali, S.-Y. Kung, and Z. Szabo, Quantification and segmentation of brain tissue from MR images: A probabilistic neural network approach,'' IEEE Trans. Image Processing, Special Issue on Applications of Neural Networks to Image Processing, vol. 7, no. 8, pp. 1165-1181, Aug. 1998.
34. T. Adali, B. Wang, A. N. Pilipetskii, and C. R. Menyuk, A filtering approach for reducing timing jitter due to the acoustic effect,'' IEEE/OSA Journal of Lightwave Tech., vol. 16, no. 6, pp. 986-989, June 1998.
35. Y. Wang, T. Adali, C. Lau, and S.-Y. Kung, Quantitative analysis of MR brain image sequences by adaptive self-organizing mixtures,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Biomedical Image Processing, vol. 18, no. 3, pp. 219-239, Apr. 1998.
36. T. Adali and X. Liu, Canonical piecewise linear network for nonlinear adaptive filtering and its application to blind equalization,'' Signal Processing, vol. 61, no. 2, pp. 145-155, Sep. 1997.
37. T. Adali, X. Liu, and M. K. Sönmez, Conditional distribution learning with neural networks and its application to channel equalization,'' IEEE Trans. Signal Processing, vol. 45, no. 4, pp. 1051-1064, Apr. 1997.
38. Y. Wang, T. Adali, and S. C. B. Lo, Automatic threshold selection for quantification,'' Journal of Biomedical Optics, vol. 2, no. 2, pp. 211-217, Apr. 1997.
39. T. Adali, B. Bakal, M. K. Sönmez, R. Fakory, and O. Tsaoi, Modeling core neutronics with recurrent neural networks,'' Neurocomputing, Special Issue on Recurrent Networks for Sequence Processing, vol 15, pp. 363-381, 1997.
40. T. Adali and S. H. Ardalan, On the effect of input signal correlation on weight misadjustment in the RLS algorithm,'' IEEE Trans. Signal Processing, vol. 43, no. 4, pp. 988-991, Apr. 1995.
41. T. Adali and S. H. Ardalan, Analysis of a stabilization technique for the fixed-point prewindowed RLS algorithm,'' IEEE Trans. Signal Processing, vol. 39, no. 9, pp. 2079-2082, Sep. 1991.

BOOK CHAPTERS
1. T. Adali and Y. Wang, Image Analysis and Graphics for Multimedia Presentation, Multimedia Image and Video Processing, L. Guan, S.-Y Kung, and J. Larsen (editors), CRC Press: Boca Raton, FL, 2000, pp. 201-241.
2. T. Adali, Y. Wang, and H. Li, Applications of Neural Networks in Biomedical Signal Processing, (Chapter 12), Handbook of Neural Network Signal Processing, Y. H. Hu and J.-N. Hwang (editors), CRC Press, 2002, pp. 12-1 - 12-28.
3. Y. Wang and T. Adali, Stochastic Model Based Image Analysis, Signal Processing for Magnetic Resonance Imaging and Spectroscopy, H. Yan editor, Marcel Dekker, 2002, pp. 365 - 399.

EDITED PROCEEDINGS/SPECIAL ISSUES
1. Machine Learning for Signal Processing XIV, Proc. of the 2004 IEEE Workshop, A. K. Barros, J. Principe, J. Larsen, T. Adali, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2004.
2. Double Special Issue: Biomedical and Communications Applications of Neural Networks, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Springer, vol. 37, no. 2/3, June/July 2004. D. Miller, T. Adali, J. Larsen, M. Van Hulle (guest editors).
3. Neural Networks for Signal Processing XIII, Proc. of the 2003 IEEE Workshop, C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas, J. Rouat (editors), IEEE Press, Piscataway, NJ, 2003.
4. Special Issue on Intelligent Multimedia Processing, IEEE Trans. Neural Networks, vol. 13, no. 4, July 2002, L. Guan, T. Adali, S. Katagiri, J. Larsen, and J. Principe (guest editors).
5. Neural Networks for Signal Processing XII, Proc. of the 2002 IEEE Workshop, H. Bourlard, T. Adali, S. Bengio, J. Larsen, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2002.
6. Neural Networks for Signal Processing XI, Proc. of the 2001 IEEE Workshop, D. Miller, T. Adali, J. Larsen, M. Van Hulle, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2001.
7. Neural Networks for Signal Processing X, Proc. of the 2000 IEEE Workshop, B. Widrow, L. Guan, K. Paliwa, T. Adali, J. Larsen, E. Wilson, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2000.
8. Special Issue on Applications of Neural Networks in Biomedical Image Processing,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 18, no. 3, April 1998, T. Adali (guest editor).
9. Special Issue on Neural Networks for Signal Processing,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 26, nos. 1/2, Aug.-Sep. 2002, M. Van Hulle, J. Larsen, and T. Adali (guest editors).
10. Special Issue on Neural Networks for Signal Processing,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 26, nos. 1/2, Aug. 2000, T. Adali, M. Van Hulle, M. Niranjan (guest editors).

PUBLICATIONS IN CONFERENCE PROCEEDINGS (REFEREED)
1. W. Xi and T. Adali, Integrated MAP equalization and turbo product coding for optical fiber communications systems,'' to appear in Proc. IEEE Globecom Conf., St. Louis, MO, Nov. 2005.
2. V. D. Calhoun, T. Adali, G. Pearlson, and K. Kiehl, Neuronal chronometry of target detection: fusion of hemodynamic and event-related potential data,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, Sep. 2005.
3. W. Wang, T. Adali, H. Li, and D. Emge, Detection using correlation bound and its application to Raman spectroscopy,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, Sep. 2005.
4. M. Novey and T. Adali, ICA by maximization of nongaussianity using complex functions,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, Sep. 2005.
5. H. Li, T. Adali, W. Wang, and D. Emge, Non-negative matrix factorization with orthogonality constraints for chemical agent detection in Raman spectra,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, Sep. 2005.
6. W. Wang and T. Adali, Constrained ICA and its application to Raman spectroscopy,'' in Proc. IEEE AP-S Int. Symp. Antennas and Propagation, July 2005.
7. Y.-O. Li, T. Adali, and V. Calhoun, Feature-selective ICA and its convergence properties,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Philadelphia, PA, March 2005, (best student paper award) .
8. N. Correa, Y.-O. Li, T. Adali, and V. Calhoun, Comparison of blind source separation algorithms for fMRI using a new Matlab toolbox: GIFT,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Philadelphia, PA, March 2005.
9. W. Xi, T. Adali, and Y. Cai, Probability distribution estimation for an integrated coding and equalization scheme in optical communications systems,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Philadelphia, PA, March 2005.
10. W. Xi, T. Adali, and J. Zweck, Electrical estimation of conditional probability for maximum-likelihood based PMD mitigation,'' in Tech. Digest Optical Fiber Communications (OFC) Conf., Anaheim, CA, March 2005.
11. Y.-O. Li, T. Adali, and V. Calhoun, Independent Component Analysis With Feature Selective Filtering,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP) , Sao Luis, Brazil, Sep.-Oct. 2004.
12. V. Calhoun and T. Adali, Semi-blind ICA of FMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis,'' in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Sao Luis, Brazil, Sep.-Oct. 2004.
13. T. Adali, T. Kim, and V. Calhoun, Independent component analysis by complex nonlinearities,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Montreal, Canada, May 2004. pdf file
14. W. Xi, T. Adali, and J. Zweck, A MAP equalizer for the optical communications channel,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Montreal, Canada, May 2004. pdf file
15. W. Wang, O. V. Sinkin, T. Adali, J. Zweck and C. R. Menyuk, Prior-based Line-coding for WDM RZ Systems,'' in Proc. Conference on Lasers and Electro Optics (CLEO), San Francisco, CA, May 2004.
16. V. Calhoun, T. Adali, and L. Yiou, Independent component analysis of complex-valued functional MRI data by complex nonlinearities,'' in Proc. IEEE Int. Symp. Biomedical Imaging, Arlington, VA, April 2004.
17. T. Adali, W. Wang, A. O. Lima, Electronic equalization in optical fiber communications,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Hong Kong, April 2003. pdf file
18. V. Calhoun and T. Adali, Complex ICA for FMRI analysis: performance of several approaches,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Hong Kong, April 2003. pdf file
19. V. Calhoun, T. Adali, L. K. Hansen, J. Larsen, and J. Pekar, ICA of functional MRI data: an overview,'' in Proc. IEEE Workshop on ICA, Nara, Japan, April 2003. pdf file
20. T. Adali, Applications of signal processing to optical fiber communications,'' in Proc.~15th Annual Meeting of the IEEE Lasers and Electro-Optics Society (LEOS) 2002, (invited). pdf file
21. W. Wang, T. Adali, W. Xi, and C. R. Menyuk, On properties of adaptive filters for optical domain,'' in Proc.~15th Annual Meeting of the IEEE Lasers and Electro-Optics Society (LEOS) 2002. pdf file
22. A. O. Lima, I. T. Lima, Jr., T. Adali, and C. R. Menyuk, Comparison of power penalties due to first- and all-order PMD distortions,'' in Proc.~28th European Conference on Optical Communication (ECOC), Copenhagen, Denmark, Sep. 2002. pdf file
23. V. Calhoun and T. Adali, Complex Infomax: convergence and approximation of Infomax with complex nonlinearities,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Martigny, Switzerland, Sep. 2002. pdf file
24. T. Kim and T. Adali, Universal approximation of fully complex feed-forward neural networks,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Orlando, FL, May 2002. pdf file
25. V. Calhoun, T. Adali, G.Pearlson, and J.Pekar, On complex Infomax applied to functional MRI data,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Orlando, FL, May 2002. pdf file
26. A. O. Lima, T. Adali, I. T. Lima, Jr., and C. R. Menyuk, Polarization diversity and equalization for PMD mitigation in optical communication systems,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Orlando, FL, May 2002. pdf file
27. A. O. Lima, T. Adali, I. T. Lima, Jr., and C. R. Menyuk, Polarization diversity receiver for PMD mitigation,'' Optical Fiber Communication,'' in Tech. Digest Optical Fiber Communications Conf., Anaheim, CA, March 2002, WI7, pp. 241-242.
28. V.Calhoun, T.Adali, G.Pearlson, and J.Pekar, Group ICA of functional MRI data: separability, stationarity, and inference,'' in Proc. ICA, San Diego, CA, Dec. 2001.
29. T. Kim and T. Adali, Approximation by fully complex MLP using elementary transcendental activation functions,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Falmouth, MA, Sep. 2001, pp. 203 - 212.
30. V. Calhoun, T. Adali, and G. Pearlson, Independent component analysis applied to fMRI data: A generative model for validating results,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Falmouth, MA, Sep. 2001, pp. 509 - 518. pdf file
31. T. Kim and T. Adali, Nonlinear satellite channel equalization using fully complex backpropagation network,,'' in Proc. IEEE Workshop on Nonlinear Signal and Image Processing, Baltimore, MD, June 2001. pdf file
32. V. Calhoun, T. Adali, and G. Pearlson, Independent component analysis applied to fMRI Data: a natural model and order selection,'' in Proc. IEEE Workshop on Nonlinear Signal and Image Processing, Baltimore, MD, June 2001. pdf file
33. H. Ni and T. Adali, On-line order selection for communications,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Salt Lake City, UT, May 2001. pdf file
34. T. Kim And T. Adali, Complex backpropagation neural network using elementary transcendental functions,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Salt Lake City, UT, May 2001. pdf file
35. V.Calhoun, J.Pekar, T.Adali, and G.Pearlson, An fMRI analysis of driving-related networks with independent component analysis applied in a between-condition (BC-ICA) and within-condition (WC-ICA) manner,'' in Proc. ISMRM, 10th Annual Meeting, Glasgow, Scotland, 2001, p. 668.
36. V.Calhoun, J.Pekar, T.Adali, and G.Pearlson, fMRI of visual perception: networks identified by SPM and independent component analysis,'' in Proc. ISMRM, 10th Annual Meeting, Glasgow, Scotland, 2001.
37. Y. Cai, J. M. Morris, T. Adali, C. R. Menyuk, On the effects of ASE noise models on turbo code decoder performance in optical fiber transmissions,'' in Proc. Conference on Lasers and Electro-Optics, Baltimore, MD, May 2001. pdf file
38. Y. Cai, N. Ramanujam, J. M. Morris, T. Adali, G. Lenner, A. B. Puc, and A. Pilipetskii, Performance Limit of Forward Error Correction Codes in Optical Fiber Communications,'' in Tech. Digest Optical Fiber Communications Conf., Anaheim, CA, March 2001. pdf file
39. H. Ni and T. Adali, Sequential order selection for real time signal processing,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Sydney, Australia, Dec. 2000, pp. 105-114. pdf file
40. T. Kim and T. Adali, Fully complex backpropagation for constant envelope signal processing,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Sydney, Australia, Dec. 2000, pp. 231-240. pdf file
41. T. Adali, Y. Cai, and Q. Zheng, An adaptive phase-equalizer for reducing timing jitter due to acoustic effect,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Istanbul, Turkey, Jun. 2000, vol. 5, pp. 2693-2696. pdf file
42. Y. Cai, T. Adali, Q. Xiang, X. Zhao, and F. Choa, An adaptive equalization approach for canceling the multi-path effect in multi-mode fibers,'' Proc. Int. Conf. on Applications of Photonic Technology, Quebec City, Quebec, Canada, June 2000.
43. Y. Cai, T. Adali, and C. R. Menyuk, A line coding scheme for reducing timing jitter in WDM soliton systems,'' in Tech. Digest Optical Fiber Communications Conf., Baltimore, MD, Feb. 2000, pp. ThS4-1/277 - ThS4-3/279. pdf file
44. B. Wang and T. Adali, Time-domain equalizer design for discrete multitone systems'', in Proc. IEEE Int. Conf. on Communications (ICC), New Orleans, LA, Jun. 2000. pdf file
45. B. Wang and T. Adali, A weighted frequency-domain least squares approach for equalization and noise suppression in discrete multitone systems'', in Proc. IEEE Int. Conf. on Communications (Symposium on Communication Theory), New Orleans, LA, Jun. 2000. pdf file
46. B. Wang and T. Adali, Joint-impulse response shortening for discrete multitone systems,'' in Proc. Globecom Conf., Rio de Janeiro, Brazil, Dec. 1999, vol. 5, pp. 2508-2512.
47. T. Adali and H. Ni, Maximum partial likelihood methods for nonlinear signal processing,'' in Proc. 33rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Oct. 1999 (invited), pp. 962-965. pdf file
48. B. Wang and T. Adali, A frequency-domain eigenfilter approach for equalization in discrete multitone systems'' in Proc. 33rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Oct. 1999, pp. 1058-1062. pdf file
49. B. Wang, T. Adali, Q. Liu, and M. Vlajnic, Generalized channel impulse response shortening for discrete multitone transceivers'', in Proc. 33rd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Oct. 1999, pp. 276-280. pdf file
50. V. Calhoun, T. Adali, and G. Pearlson, (Non)stationarity of temporal dynamics in fMRI,'' in Proc. BMES/EMBS Conference, Atlanta, GA, vol. 2, Oct. 1999, p. 1079. pdf file
51. V. Calhoun, T. Adali, and G. Pearlson, Adaptive filtering of visual evoked responses in fMRI: variability of response,'' in Proc. IAESTED Conf. Signal and Image Proc. (SIP), Nassau, Bahamas, October 1999, pp. 45-48.
52. T. Adali, Why a nonlinear solution for a linear problem?'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Madison, WI, August 1999, pp. 157-165. pdf file
53. H. Ni, T. Adali, and B. Wang, Partial likelihood methods for probability density estimation,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Madison, WI, August 1999, pp. 147-156. pdf file
54. J. I. Arribas, J. Cid-Sueiro, and T. Adali, and A. R. Figueiras-Vidal, Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Madison, WI, August 1999, pp. 263-272. pdf file
55. L. Demirekler and T. Adali, Time-domain channel equalizer for discrete multitone transceivers,'' in Proc. IEEE Conf. on Signal Processing and Applications (SIU), Ankara, Turkey, June 1999.
56. B. Wang and T. Adali, An efficient training method for equalization of discrete multitone transceivers,'' in Proc. IEEE/IEE Int. Conf. on Telecommunications, Cheju, Korea, June 1999, vol. 2, pp. 189-193.
57. D. Emge and T. Adali, Least relative entropy neural networks for voiced/unvoiced speech classification,'' in Proc. Int. Joint Conf. on Neural Networks (IJCNN), Washington, DC, July 1999, no. 350.
58. H. Ni and T. Adali, A general formulation for learning multi-class posterior probabilities,'' in Proc. Int. Joint Conf. on Neural Networks (IJCNN), Washington, DC, July 1999, no. 354, (Best Paper award).
59. J. I. Arribas, J. Cid Sueiro, and T. Adali, Neural networks to estimate ML multi-class constrained conditional probability density functions,'' in Proc. Int. Joint Conf. on Neural Networks (IJCNN), Washington, DC, July 1999, no. 351.
60. J. I. Arribas, J. Cid Sueiro, and T. Adali, Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks,'' in Proc. Int. Joint Conf. on Neural Networks (IJCNN), Washington, DC, July 1999, no. 352.
61. A. Mishra and T. Adali, Bayesian belief networks for effective troubleshooting,'' in Proc. Int. Joint Conf. on Neural Networks (IJCNN), Washington, DC, July 1999, no. 349.
62. H. Ni and T. Adali, Maximum partial likelihood estimation of multi-class posterior probabilities,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1999, pp. 93-96.
63. L. Demirekler and T. Adali, Joint impulse response shortening for Discrete Multitone Transceivers,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1999, pp. 510-511.
64. B. Wang and T. Adali, A Frequency domain equalization approach for impulse response shortening in Discrete Multitone Systems,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1999, in pp. 480-485 (also pp. 486-491).
65. T. Adali, H. Ni, and B. Wang, Partial likelihood for estimation of multi-class posterior probabilities,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Phoenix, AZ, March 1999, vol. 2, pp. 1053-1056. pdf file
66. V. Calhoun, T. Adali, M. Kraut, P. Rivkin, and G. Pearlson, Visualizing spatially distributed hemodynamic lag times in event-related functional MRI: Estimation of a characteristic visual impulse response,'' Proc. 20th Annual Int. Conf. of the IEEE Eng. on Med. and Bio. Soc., Hong Kong, Nov. 1998, pp. 2124-2125. pdf file
67. S. Kadambe and T. Adali, Application of cross-term deleted Wigner representation (CDWR) for sonar target detection/classification,'' Proc. 32nd Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA, Nov. 1998 (invited). pdf file
68. T. Adali, A general probabilistic formulation for neural classifiers,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Cambridge, England, Sep. 1998, pp. 145-154. pdf file
69. B. Wang, T. Adali, X. Liu, and J. Xuan, Partial likelihood for real-time signal processing with finite normal mixtures,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Cambridge, England, Sep. 1998, pp. 244-253. pdf file
70. T. Adali, B. Wang, X. Liu, and J. Xuan, A likelihood framework for nonlinear signal processing with finite normal mixtures,'' in Proc. 1998 European Conference on Signal Processing (EUSIPCO), Rhodes, Greece, Sep. 1998, pp. 561-564.
71. L. Demirekler, T. Adali, and X. Liu, Piecewise linear decision feedback equalizers,'' in Proc. 1998 European Conference on Signal Processing (EUSIPCO), Rhodes, Greece, Sep. 1998, pp. 1409-1412.
72. V. Calhoun, T. Adali, and G. Pearlson, A frequency-space approach for motion correction in functional MRI,'' in Proc. Image and Multidimensional Signal Processing (IMDSP) Workshop,, July 1998, Alpbach, Austria, p. 229.
73. X. Liu, T. Adali, and L. Demirekler, A piecewise linear recurrent neural network structure and its dynamics,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Seattle, WA, May 1998. pdf file
74. T. Adali, B. Wang, A.N. Pilipetskii, C. R. Menyuk, A signal processing approach for effective reduction of timing jitter due to the acoustic effect,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Seattle, WA, May 1998. pdf file
75. J. Xuan, Y. Wang, T. Adali, Q. Zheng, W. Hayes, M. T. Freedman, and S. K. Mun, A deformable surface-spine model for 3-D surface registration,'' in Proc. IEEE Int. Conf. on Image Processing (ICIP), Santa Barbara, CA, Nov. 1997. pdf file
76. X. Liu and T. Adali, Recurrent canonical piecewise linear network: theory and application in blind equalization,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Amelia Island, FL, Sep. 1997, pp. 446-455. pdf file
77. Y. Wang, T. Adali, and S.-Y. Kung, Medical image analysis by probabilistic modular neural networks ,'' in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Amelia Island, FL, Sep. 1997, pp. 654-663.
78. T. Adali, N. Gupta, and Y. Wang, A multi-resolution segmentation scheme and its application to edge detection in cardiac MR image sequences,'' in Proc. DSP'97, Santorini, Greece, July 1997, pp. 1135-1139.
79. N. Li, T. Adali, and M. NessAiver, Magnetic resonance image reconstruction from non-equidistantly sampled data,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Munich, Germany, April 1997, pp. 2829-2832. pdf file
80. X. Liu and T. Adali, Recurrent canonical piecewise linear network for blind equalization,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Munich, Germany, April 1997, pp. 3213-3216. pdf file
81. X. Liu, T. Adali, S. Kadambe, and J. Xuan, Hierarchical predictive feature extraction for neural network based speaker-independent isolated word recognition,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1997, pp. 552-555.
82. J. Xuan, T. Adali, Y. Wang, W. Hayes, M. Freedman, and S. K. Mun, Information visualization of localized prostate cancer,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1997, p. 902.
83. T. Adali and X. Liu, Blind equalization using RCPL network,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1997, p. 806.
84. M. NessAiver, N. Li, T. Adali, and Terry Turpin Optical reconstruction of echo-planar MRI data sets,'' in Proc. SPIE Medical Imaging Conf., Newport, CA, Feb. 1997, SPIE vol. 3032, pp. 256-264.
85. J. Xuan, I. A. Sesterhenn, W. S. Hayes, Y. Yagi, Y. Wang, T. Adali, M. T. Freedman, and S. K. Mun, Surface reconstruction and visualization of the surgical prostate model,'' in Proc. SPIE Medical Imaging Conf., Newport, CA, Feb. 1997, pp. 50-61.
86. J. Xuan, T. Adali, E. Siegel, and Y. Wang Image quality evaluation for radiation dose optimization in CR by shape analysis and wavelet analysis,'' in Proc. 1996 European Conf. on Signal Processing (EUSIPCO), Trieste, Italy, Sep. 1996, pp. 383-386.
87. X. Liu and T. Adali, Channel equalization using partial likelihood estimation and recurrent canonical piecewise-linear neural network,'' in Proc. 1996 European Conf. on Signal Processing (EUSIPCO), Trieste, Italy, Sep. 1996, pp. 1973-1976.
88. T. Adali and X. Liu, Canonical piecewise linear network for nonlinear filtering and its application to blind equalization,'' in Proc. Fourth Bayona Workshop on Intelligent Methods in Signal Proc. and Comm., Bayona-Vigo, Spain, June 1996, pp. 34-38.
89. T. Adali, X. Liu, and M. K. Sönmez, Distribution learning by partial likelihood estimation and dynamics of relative entropy minimization,'' in Proc. Fourth Bayona Workshop on Intelligent Methods in Signal Proc. and Comm., Bayona-Vigo, Spain, June 1996, pp. 39-43.
90. X. Liu and T. Adali, Recurrent canonical piecewise neural network and its application to adaptive equalization,'' in Proc. IEEE Int. Conf. on Neural Networks (ICNN), Washington, DC, June 1996, pp. 1969-1973.
91. T. Adali, M. K. Sönmez, and X. Liu, Partial likelihood estimation for real-time signal processing,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Atlanta, GA, vol. 6, May 1996, pp. 3562-3565. pdf file
92. Y. Wang and T. Adali, Efficient learning of finite normal mixtures for image quantification,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Atlanta, GA, vol. 6, May 1996, pp. 3423-3426. pdf file
93. J. Xuan, T. Adali, and X. Liu, Information geometry of maximum partial likelihood estimation for estimation for channel equalization,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Atlanta, GA, vol. 6, May 1996, pp. 3534-3537. pdf file
94. J. Xuan and T. Adali, Task-specific segmentation for remote sensing images,'' in Proc. Int. Geoscience and Remote Sensing Symposium (IGARSS), Lincoln, NE, May 1996, vol. 1, pp. 700-702 (invited).
95. Y. Wang, T. Adali, M. T. Freedman, and S. K. Mun, MR brain image analysis by distribution learning and relaxation labeling,'' in Proc. 15th IEEE Southern Biomedical Engineering Conf., Dayton, OH, March 1996, pp. 133-136 (invited), also in J. Long-Term Effects of Medical Implants (special issue).
96. C. Lau, T. Adali, and Y. Wang, Co-registration of PET/MR brain images by multi-feature correlation matching,'' in Proc. 15th Southern Biomedical Engineering Conf., Dayton, OH, March 1996, pp. 301-304 (invited), also in J. Long-Term Effects of Medical Implants (special issue).
97. T. Adali, X. Liu, and M. K. Sönmez, Partial likelihood for signal processing with neural networks and its application to channel equalization,'' in Proc. 30th Annual Conf. on Info. Sciences and Systems (CISS), Princeton, NJ, March 1996, pp. 1049-1054 (invited).
98. N. Gupta, T. Adali, and M. NessAiver, Temporal processing of cardiac MR image sequences for endocardial contour detection,'' in Proc. SPIE Medical Imaging Conf., Newport, CA, Feb. 1996, SPIE vol. 3032, pp. 256-264.
99. Y. Wang, T. Adali, C-M. Lau, and Z. Szabo, Quantification of MR brain images by a probabilistic self-organizing map,'' Radiology (Supplement Issue), Vol. 197 (P), Nov. 1995, p. 252 (summary).
100. J. Xuan and T. Adali, Segmentation of magnetic resonance brain image: integrating region growing and edge detection,'' in Proc. IEEE Int. Conf. on Image Processing (ICIP), Washington, DC, Nov. 1995, vol. 3, pp. 544-547.
101. B. Bakal, T. Adali, and R. Fakory, Time-delay neural networks for preprocessing of incomplete data and prediction of gas emissions in fossil fuel plants,'' in Proc. 10th Int. Symp. on Computer and Info. Sciences (ISCIS), Izmir, Turkey, Oct. 1995, pp. 771-778.
102. N. Gupta, T. Adali, and M. NessAiver, Automatic left ventricular boundary detection for cardiac MR sequences,'' in Proc. 10th Int. Symp. on Computers and Info. Sciences (ISCIS), Izmir, Turkey, Oct. 1995, pp. 79-86.
103. T. Adali, X. Liu, M. K. Sönmez, and N. Li, A partial likelihood framework for the analysis of LRE Algorithm: A distribution learning approach for adaptive equalization,'' Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), Boston, MA, Sep. 1995, pp. 541-550.
104. B. Bakal, T. Adali, R. Fakory, D. Komo, M. K. Sönmez, and O. Tsaoi, Modeling core neutronics by recurrent neural networks,'' in Proc. World Congress on Neural Networks (WCNN), Washington, DC, July 1995, vol. 2, pp. 504-508.
105. B. Bakal, T. Adali, M. K. Sönmez, and R. Fakory, Time delay neural networks for NOx and CO prediction in fossil fuel plants,'' in Proc. of World Congress on Neural Networks (WCNN), Washington, DC, July 1995, vol. 3, pp. 111-115.
106. J. Xuan and T. Adali, Learning tree-structured vector quantization for image compression,'' in Proc. World Congress on Neural Networks (WCNN), Washington, DC, July 1995, vol. 1, pp. 756-759.
107. Y. Wang, T. Adali, and C. Lau, Quantification of computed medical images by neural network histogram analysis,'' in Proc. World Congress on Neural Networks (WCNN), Washington, DC, July 1995, vol. 2, pp. 811-814.
108. N. Li, T. Adali, and X. Liu, Finite alphabet least relative entropy algorithm for channel equalization,'' in Proc. World Congress on Neural Networks (WCNN), Washington, DC, July 1995, vol. 3, pp. 76-79.
109. B. Bakal, T. Adali, R. Fakory, D. Komo, M. K. Sönmez and C. O. Tsaoi, Simulation of nuclear reactor core dynamics by recurrent neural networks,'' in Computer-Based Human Support Systems: Technology, Methods and Future, Philadelphia, PA, June 1995, pp. 475-479.
110. T. Adali, M. K. Sönmez, and K. Patel, On the dynamics of the LRE algorithm: A distribution learning approach to adaptive equalization,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Detroit, MI, May 1995, pp. 929-932.
111. B. Bakal, T. Adali, R. Fakory, D. Komo, M. K. Sönmez, and O. Tsaoi, Neural network simulation of real-time core neutronic model,'' in Proc. SCS Simulation Multiconference, Phoenix, AZ, April 1995, pp. 160-165.
112. B. Bakal, T. Adali, M. K. Sönmez, and R. Fakory, NOx and CO prediction in fossil fuel plants by neural networks,'' in Proc. SCS Simulation Multiconference, Phoenix, AZ, April 1995, pp. 1-10.
113. X. Liu and T. Adali, Channel equalization by maximum partial likelihood estimation,'' in Proc. Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1995, pp. 674-678.
114. J. Xuan, T. Adali, Y. Wang, and R. Steinman, Predictive tree-structured vector quantization for medical image compression and its evaluation by computerized image analysis,'' in Proc. SPIE Medical Imaging Conf., San Diego, CA, Feb. 1995, SPIE vol. 2431, pp. 257-2431.
115. T. Adali and Y. Wang, Probabilistic neural networks for medical image quantification,'' in Proc. IEEE Int. Conf. on Image Processing (ICIP), Austin, TX, Nov. 1994, vol. 3, pp. 889-892.
116. Y. Wang, T. Lei, and T. Adali, Hidden MRF model-based algorithms for NMR image analysis,'' in Proc. IEEE Nuclear Science Symp. and Medical Imaging Conf., Norfolk, VA, Nov. 1994, vol. 3, pp. 1448-1452.
117. T. Adali, Y. Wang, and N. Gupta, Block-wise segmentation via vector quantization for medical image analysis,'' in Engineering Advances: New Opportunities for Biomedical Engineers, N. F. Sheppard, Jr., M. Eden, and G. Kandor editors, Nov. 1994, vol. 16, pp. 722-723. Soc.
118. Y. Wang, T. Adali, and T. Lei, Unsupervised medical image analysis by multiscale FNM modeling and MRF relaxation labeling,'' in Proc. IEEE Workshop on Information Theory and Statistics, Alexandria, VA, Oct. 1994, p. 101.
119. Y. Wang and T. Adali, Probabilistic neural networks for parameter quantification in unsupervised medical image analysis,'' in Biomedical Engineering Recent Developments, J. Vossoughi editor, Washington, DC, April 1994, pp. 669-672 (Best Student Paper award).
120. T. Adali and M. K. Sönmez, Channel equalization with perceptrons: an information theoretic approach,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Adelaide, Australia, April 1994, vol 3, pp. 297-300.
121. S. H. Ardalan and T. Adali, DSP and communications education with graphical block diagram simulation tools,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Adelaide, Australia, April 1994, vol. 4, pp. 57-60.
122. M. K. Sönmez and T. Adali, Channel equalization by distribution learning: the least entropy algorithm,'' in Applications of Neural Networks to Telecommunications, J. Alspector, R. Goodman, and T. X. Brown editors, Princeton, NJ, Oct. 1993, pp. 218-224.
123. M. K. Sönmez and T. Adali, Least relative entropy channel equalization,'' in Proc. 27th Annual Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1993, pp. 916-921 (invited).
124. T. Adali and S. H. Ardalan, Effects of signal quantization on recursive least squares algorithms,'' in Proc. 27th Annual Conf. on Info. Sciences and Systems (CISS), Baltimore, MD, March 1993, pp. 241-245.
125. T. Adali and S. H. Ardalan, A mobile communications application in block diagram simulator Capsim,'' in Simulators X, Simulation Series, vol. 25, no. 4, March 1993, pp. 535-540.
126. T. Adali, S. H. Ardalan, and A. S. Sadri, Multichannel general order FTF algorithm and its application to the equalization of mobile communication channels,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), San Francisco, CA, vol. 4, March 1992, pp. 517-520.
127. T. Adali and S. H. Ardalan, Fixed-point roundoff error analysis of the RLS algorithm with time-varying channels,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Toronto, Ontario, Canada, May 1991, pp. 1865-1868.
128. T. Adali and S. H. Ardalan, Fixed-point roundoff error analysis of the RLS algorithm,'' in Adaptive Control and Signal Processing, M. H. Hamza editor, 1990, pp. 40-43.
129. T. Adali and S. H. Ardalan, Convergence and error analysis of the fixed-point transversal RLS algorithm,'' in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Albuquerque, NM, April 1990, pp. 1479-1482.
130. T. Adali and S. H. Ardalan, A new stabilization technique for the fixed-point prewindowed RLS algorithm,'' in Proc. Bilkent Int. Conf. New Trends in Comm., Contr., Signal Processing Ankara, Turkey, July 1990, pp. 1291-1297.
131. T. Adali and S. H. Ardalan, Steady-state and convergence characteristics of the fixed-point RLS algorithm,'' in Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), New Orleans, LA, May 1990, pp. 788-791.
132. S. H. Ardalan and T. Adali, Sensitivity analysis of transversal RLS algorithms with correlated inputs,'' in Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), Portland, OR, May 1989, pp. 1744-1747.

INVENTION DISCLOSURES AND PATENTS
1. W. Xi and T. Adali, Integrated MAP equalization and turbo product codign for optical fiber communications systems,'' provisional patent filing date 6/21/05, application no. 60/692,403.
2. Y. Cai, T. Adali, and C. R. Menyuk, Error mitigation system using line coding for optical WDM communications,'' invention disclosure TRN no. 2322TA, Patent application filing date Feb. 28, 2000, application no. 60/185,400, pending.
3. B. Wang and T. Adali, Method for equalization in multicarrier communication systems,'' invention disclosure TRN no. 2318TA, provisional application filing date 7/14/99, application no. 60/143,640.
4. B. Wang and T. Adali, Optimized equalizer for multicarrier communication systems,'' invention disclosure TRN no. 2319TA, provisional application filing date 7/14/99, application no. 60/143,641.
5. T. Adali, A. Mishra, and M. K. Sönmez, Adaptive Troubleshooting with Bayesian Belief Networks,'' invention disclosure TRN no. 2304TA, provisional application filing date 7/12/99, application no. 60/143,997.

NON-REFEREED PUBLICATIONS AND ABSTRACTS
1. S. Sheriff, D. Lefkowitz, S. Roys, T. Adal{\i}, and R. Gullapalli, Novel initialization technique for expectation-maximization based image segmentation: quantification and validation,'' in {\em Proc. Int. Soc. Magnetic Resonance in Medicine (ISMRM)}, Toronto, ON, Canada, July 2003.
2. R. Arya, V. Calhoun, T. Adal{\i}, S. Roys, J. Greenspan, and R. Gullapalli, Comparative study of several multivariate fMRI processing methods: PCA, factor analysis, Infomax, FASTICA, MELODIC,'' in {\em Proc. ISMRM,} % 10th Annual Meeting}, Toronto, ON, Canada, July 2003.
3. R. Arya, S. Roys, V. Calhoun, T. Adal{\i}, J. Greenspan, and R. Gullapalli, Distance measure for ranking spatial ICA components of functional MRI data,'' in {\em Proc. ISMRM}, %10th Annual Meeting}, Toronto, ON, Canada, July 2003.
4. V. Calhoun, J. Pekar, T. Adal{\i}, and G. Pearlson, An fMRI analysis of driving-related networks with independent component analysis applied in a between-condition (BC-ICA) and within-condition (WC-ICA) manner,'' in {\em Proc. ISMRM,} Glasgow, Scotland, 2001, p. 668.
5. V. Calhoun, J. Pekar, T. Adal{\i}, and G. Pearlson, fMRI of visual perception: networks identified by SPM and independent component analysis,'' in {\em Proc. ISMRM,} Glasgow, Scotland, 2001.
6. T. Adali, M. Van Hulle, and M. Niranjan, Guest Editor's Introduction,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 5-6, Aug. 2000.
7. B. Wang, and T. Adali, Frequency-domain approaches for equalizer design for discrete multitone systems,'' Broadband Access Technologies Workshop, Nortel Networks, Nepean, Ontario, Canada, Apr. 2000.
8. T. Adali, Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing,'' Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Biomedical Image Processing, vol. 18, no. 3, pp. 203-204, April 1998.
9. T. Adali, Nonlinear channel equalization'', in Proc. IEEE Signal Processing Workshop, Washington, DC, March 1995.
10. T. Adali, B. Bakal, R. Fakory, D. Komo, M. K. Sönmez, and O. Tsaoi, Dynamic system modeling with neural networks,'' in Proc. GSE Systems Users Conf., Columbia, MD, Sep. 1994.
11. A. S. Sadri and T. Adali, 9600 bps full-duplex voice band data communication'', Capsim Application Notes, XCAD Corp., 1990, Raleigh, NC.
12. W. T. Jefferson, A. S. Sadri, T. Adali and S. H. Ardalan, High performance flexible adaptive filtering for digital communications systems,'' NSF Final Report, Sep. 1990, Datec Inc., Research Triangle Park, NC.
13. T. Adali and S. H. Ardalan, Steady-state analysis of the fixed-point RLS algorithm,'' CCSP TR-92, May 1992, Raleigh, NC.
14. T. Adali and S. H. Ardalan, A new stabilization technique for the fixed-point prewindowed RLS algorithm,'' CCSP TR-90/4, June 1990, Raleigh, NC.
15. T. Adali and S. H. Ardalan, Convergence properties of the fixed-point RLS algorithm,'' CCSP TR-90/5, June 1990, Raleigh, NC.