A. Independent Component analysis and Blind Source Separation (2000-2009)

[2009a] P. Tichavsky,and A. Yeredor,  Fast Approximate Joint Diagonalization Incorporating Weight Matrices, IEEE Tr. on Signal Processing, vol. 57, no.3, pp. 878-891, March 2009. (here)

[2009b] P. Tichavsky, A. Yeredor, and Z. Koldovsky, A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes, ICASSP 2009, Taipei, Taiwan, April 21-27, 2009, pp. 3133-3136.(here)

[2008a] P. Tichavsky, Z. Koldovsky, and E. Oja, Corrections to ``Performance Analysis of the FastICA Algorithm and Cramer-Rao Bounds for Linear Independent Component Analysis", TSP 04/06, IEEE Tr. Signal Processing, vol. 56, no.4, pp. 1715-1716, April 2008. (here)

[2008b] P. Tichavsky, Z. Koldovsky, A. Yeredor, G. Gomez-Herrero, and E. Doron, A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach , IEEE Tr. Neural Networks, vol. 19, no. 3, pp. 421-430, March 2008.(here)

[2008c] P. Tichavsky, A. Yeredor, and J. Nielsen, A Fast Approximate Joint Diagonalization Algorithm Using a Criterion with a Block Diagonal Weight Matrix , Proc. ICASSP 2008, Las Vegas, U.S.A. (here)

[2007a] E. Doron, A. Yeredor and P. Tichavsky, Cramer-Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources, IEEE Signal Processing Letters, vol. 14, no.6, pp. 417-420, June 2007.(here)

[2007b] Z. Koldovsky, and P. Tichavsky Time-Domain Blind Audio Source Separation using Advanced ICA Methods, Proc. INTERSPEECH 2007, Antwerp, Belgium, 27-31 August 2007. (here)

[2007c] P. Tichavsky, Z. Koldovsky, and E. Oja, Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions , Proc. ICA 2007, 7th International Conference on Independent Component Analysis and Signal Separation, London, UK, 9 - 12 September 2007.

[2007d] Z. Koldovsky, and P. Tichavsky Blind Instantaneous Noisy Mixture Separation with Best Interference-plus-noise Rejection, Proc. ICA 2007, 7th International Conference on Independent Component Analysis and Signal Separation, London, UK, 9 - 12 September 2007.

[2007e] G. Gomez-Herrero, Z. Koldovsky, P. Tichavsky, and K. Egiazarian, A fast algorithm for blind separation of non-Gaussian and time-correlated signals, Proc. EUSIPCO 2007, Poznan, Poland, September 3-7, 2007.(here)

[2006a] P. Tichavský, Z. Koldovský and E. Oja, Performance Analysis of the FastICA Algorithm and Cramér-Rao Bounds for Linear Independent Component Analysis, IEEE Trans. on Signal Processing, Vol. 54, No.4, April 2006. (here + corrections)

[2006b] Z. Koldovský, P. Tichavský and E. Oja, Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramér-Rao Lower Bound, IEEE Trans. on Neural Networks, vol. 17, no. 5, pp. 1265- 1277, September 2006. (here)

[2006c] Z. Koldovský, P. Tichavský, Methods of Fair Comparison of Performance of Linear ICA Techniques in Presence of Additive Noise, Proc. of ICASSP 2006, Toulouse, France, Vol. V., pp. 873-876, May 2006.(here)

[2006d] P. Tichavský, Z. Koldovský, E. Doron, A. Yeredor, and G. G. Herrero, Blind signal separation by combining two ICA algorithms: HOS-based EFICA and time structure-based WASOBI, to be presented at EUSIPCO 2006, Florence, Italy, September 2006.(here)

[2006e] P. Tichavský, E. Doron, A. Yeredor, and J. Nielsen, A Computationally Affordable Implementation an Asymptotically Optimal BSS algorithm for AR Sources , to be presented at EUSIPCO 2006, Florence, Italy, September 2006.(here)

[2005] Z. Koldovsky, P. Tichavsky and E. Oja,  Cramer-Rao Lower Bound for Linear Independent Component Analysis, Proc. ICASSP, Philadelphia, March 2005.

[2004a] P. Tichavsky and Z. Koldovsky, Optimal pairing of signal components separated by blind techniques, IEEE Signal Processing Letters, Vol. 11, No. 2, pp.119-122, February 2004. (here)

[2004b] M. Dobes, L. Machala, P. Tichavsky,and J. Pospisil, Human eye iris recognition using the mutual information , Optik, International Journal for Light and Electron Optics, Vol. 115, No. 9, pp. 399-404, 2004.

[2000] G.A. Darbellay and P. Tichavsky, Independent component analysis through direct estimation of the mutual information , ICA'2000 Proceedings. Second International Workshop on Independent Component Analysis and Blind Signal Separation, Helsinki, Finland, 19.-22. June 2000, pp. 69--75.

B. Adaptive Frequency Estimation and Tracking (1994-2000)

[1994a] P. Händel and P. Tichavsky, Adaptive Filtering for Periodic Signal Enhancement and Tracking, Int. Journal on Adaptive Control and Signal Processing 8, 447-456, 1994.

[1995a] P. Tichavsky and P. Händel, Two algorithms for adaptive retrieval of slowly varying multiple cisoids in noise, IEEE Trans. on Signal Processing, vol. 43, no.5, pp. 1116-1127, May 1995.

[1996] M. Padmanabhan and P. Tichavsky, Extension of a hyperstable adaptive line enhancer for tracking of multiple noisy cisoids, SIGNAL PROCESSING VIII: Theories and Applications. Sicuranza G.L., Ramponi G., Carrato S. and Marsi S. (Eds.), European Association for Signal Processing, Proceedings of EUSIPCO-96, Trieste, Italy, September 1996, pp. 1271-1274.

[1997a] P. Tichavsky and P. Händel, Recursive estimation of frequencies and frequency rates of multiple cisoids in noise, Signal Processing, Vol. 58, Issue 2 (1997), pp. 117-129.

[1997b] P. Tichavsky and A. Nehorai, Comparative study of four adaptive frequency trackers, IEEE Trans. on Signal Processing, Vol. 45, No.6, pp. 1473-1484, June 1997.

[1997c] P. Tichavsky and P. Händel, Recursive estimation of linearly or harmonically modulated frequencies of multiple cisoids in noise, Proc. of the IEEE Int. Conf. Acoust., Speech, Signal Processing, Muenchen, Germany, Pt. III, pp. 1925-1928, April 1997.

[1998] P. Händel, P. Tichavsky and S. M. Savaresi, Large Error Recovery for a Class of Frequency Tracking Algorithms, Int. J. Adaptive Control and Signal Processing, , vol. 12, pp. 417-436, 1998.

[1999] P. Tichavsky and P. Händel, Multicomponent polynomial phase signal analysis using a tracking algorithm, IEEE Trans. on Signal Processing, vol. 47, no.5, pp. 1390--1395, May 1999.

[2000] P. Tichavsky and P. Händel, Estimation and smoothing of instantaneous frequency of noisy narrow-band signals, Signal Processing X Theories and Applications, Proc. of EUSIPCO'2000, M. Gabbouj and P. Kuosmanen (Eds.), vol. 3, pp. 1803-1806, Tampere, Finland, September 2000.

C. Cramer-Rao Bounds in Various Applications (1995-2001)

[1995] P. Tichavsky, Posterior Cramer-Rao bounds for adaptive harmonic retrieval, IEEE Trans. on Signal Processing vol. 43, no.5, pp. 1299-1302, May 1995.

[1998] P. Tichavsky, C. Muravchik and A. Nehorai, Posterior Cramer-Rao bounds for discrete-time nonlinear filtering, IEEE Tr. on Signal Processing , Vol. 46, No. 5, pp. 1386-1396, May 1998.

[2001] M. Simandl, J. Kralovec and P. Tichavsky, FIltering, predictive, and smoothing Cramer-Rao bounds for discrete-time nonlinear dynamic system, Automatica, , Vol. 37, No. 11, pp. 1703-1716, November 2001.

D. Sinusoidal Frequency/Frequency Rate Estimation (1993-1998)

[1993] P. Tichavsky, High-SNR asymptotics for signal-subspace methods in sinusoidal frequency estimation, IEEE Transactions on Signal Processing, vol. 41, 2448-2460, July 1993.

[1995] P. Tichavsky and A. Swami, Statistical characterization of sample fourth-order cumulants of a noisy complex sinusoidal process, IEEE Trans. on Signal Processing, vol. 43, no.5, pp 1620-1630, July 1995.

[1996a] P. Händel and P. Tichavsky, Frequency rate estimation based on fourth order sample moments, 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Corfu, Greece, pp.391-394, June 1996.

[1996b] P. Händel and P. Tichavsky, Matching of fourth order sample moments for frequency rate estimation, 1996 IEEE Nordic Signal Processing Symposium, Espoo, Finland, 24-27 September, 1996, pp. 311-314.

[1997] P. Händel and P. Tichavsky, Frequency rate estimation at high SNR , IEEE Trans. on Signal Processing, Vol. 45, No.8, pp. 2101-2105, August 1997.

[1998] A. Swami and P. Tichavsky, Strong ergodicity conditions for the n-th order moment (cumulant) of multiple sinusoids , Signal Processing, vol. 65, no.2, pp 257-266, 1998.

E. Array Processing (1988-2004)

[1988] P. Tichavsky, Estimating the angles of arrival of multiple plane waves: The statistical performance of the MUSIC and the Minimum Norm Algorithm, Kybernetika, vol. 24, no. 3, pp. 196-206, 1988.

[1999] A. Nehorai and P. Tichavsky, Cross-product algorithms for source tracking using an EM vector sensor, IEEE Trans. on Signal Processing, Vol. 47, No. 10, pp. 2663-2667, October 1999.

[2001] P. Tichavsky, K.T. Wong and M.D. Zoltowski, Near-field/far-field azimuth \& elevation angle estimation using a single vector-hydrophone, IEEE Trans. on Signal Processing, Vol. 49, No. 11, pp. 2498-2510, November 2001.

[2004] P. Tichavsky and K.T. Wong,Quasi-fluid-mechanics-based quasi-Bayesian Cramer- Rao bounds for deformed towed-array direction finding, IEEE Trans. on Signal Processing, Vol. 52, No.1, pp. 36-47, January 2004.

F. Other (Mostly Conference) Papers (1993-2005)

[1993] P. Tichavsky and P. Händel, Efficient tracking of multiple sinusoids with slowly varying parameters, Proc. of the IEEE Int. Conf. Acoust., Speech, Signal Processing, Minneapolis, MN, Pt. III, pp.368-371, April 1993.

[1994] P. Tichavsky and P. Händel, Performance analysis of two algorithms for tracking of multiple noisy cisoids, SIGNAL PROCESSING VII: Theories and Applications. M. Holt, C. Cowan, P. Grant, W. Sandham (Eds.), European Association for Signal Processing, Proceedings of EUSIPCO-94, Edinburgh, Scotland, Vol. III, pp. 1720-1723, September 1994.

[1995] A. Swami and P. Tichavsky, The n-th order moment (cumulant) of multiple sinusoids: strong ergodicity and related issues. Proc. of the IEEE Signal Processing/Athos workshop on high-order statistics, Begur, Girona (Spain), June 12-14, 1995, pp. 337-342.

[1997] P. Händel, P. Tichavsky and S. M. Savaresi, Performance analysis of a constrained high order adaptive notch filter, Proc. of the 1997 Finnish Signal Processing Symphosium , Pori, Finland, May 22, pp. 21-24.

[1997] P. Tichavsky, C. Muravchik and A. Nehorai, Posterior C-R bounds for performance of adaptive parameter estimation, Signal Analysis and Prediction I, A. Prochazka, J. Uhlir and P. Sovka (Eds.), Proc. of ECSAP'97, Prague, June 24-27, 1997, pp. 153-156.

[1998] P. Tichavsky and P. Händel, Estimating parameters of polynomial phase signals by tracking algorithms: an alternative to the polynomial-phase transform , Proc. of the Ninth IEEE SP Workshop on Statistical Signal and Array Processing Portland, Oregon, USA, September 14-16, 1998, pp. 348-351.

[1999] A. Nehorai and P. Tichavsky, Cross-product algorithms for source tracking using an EM vector sensor, Proc. of the IEEE Int. Conf. Acoust., Speech, Signal Processing, Phoenix, AZ, Pt. V, pp.2781-2784, March 1999.

[1999] M. Simandl, J. Kralovec and P. Tichavsky, Predictive and filtering lower bounds for nonlinear filters, Proc. of the 14th World Congress of IFAC , Beijing, China, June 1999, vol. H, pp. 43-48.

[2002] P. Tichavsky and K.T. Wong, New Fluid-Mechanics-Based Quasi-Bayesian Statistical Models of a Nominally Linear Towed-Array's Shape Deformation Proc. of the ICASSP'2002 , Orlando, Florida, USA, pp. 2841-2844.

[2003a] P. Tichavsky and K.T. Wong, Finite-Data-Record Performance/Breakdown Analysis of the ``Blind" Space-Time DS-CDMA Rake-Receiver of Wong-Lok-Lehnert-Zoltowski Proc. of the IEEE Int. Conf. on Communications , May 10-15, 2003, Anchorage, Alaska, pp.3302-3306.

[2003b] P. Tichavsky and K.T. Wong, A Reduced-Complexity ``Blind" Space-Frequency Algorithm for Peer-to-Peer MFSK-FFH-CDMA Detection & Co-Channel Interference Suppression Proc. of the IEEE Global Telecomunication Conference 2003 (GlobeCom 2003), , San Francisco, December 1.-5., 2003.

[1991] P. Tichavsky, Algorithms for and geometrical characterization of solutions in the LMS and the LTS linear regression, Computational Statistics Quarterly 2, pp.139-151, March 1991.

[1998] P. Tichavsky and P. Bocek, Detection of Influential Points by Convex Hull Volume Minimization, Kybernetika, Vol.34, No. 5, pp. 515-534, 1998.

[2005] P. Tichavsky and K.T. Wong, Analytic Derivation of Finite-Data-Record Performance of Wong-Lok-Lehnert-Zoltowski's DS-CDMA ``Blind" Space-Time Receiver , IEEE Trans. Signal Processing , May 2005

[2006] K.T. Wong, P. Tichavsky, S.K. Cheung and G. Liao, A New Pre-Processing Technique to Enhance Single-User-Type DS-CDMA Detectors in ``Blind" Space-Time Rake Receivers, IEEE Trans. Wireless Communications ,vol. 5, no. 10, pp. 2932- 2944, November 2006.