Yariv Ephraim

Professor

Department of Electrical and
Computer Engineering
MSN 1G5
George Mason University
4400 University Drive
Fairfax, VA 22030-4444

Email: yephraim@gmu.edu


Office Hours Fall 2016:

Nguyen Engineering Building, Room 3229

Monday: 1:45-2:45 pm

Wednesday: 4:30-5:30 pm

To contact me please use: yephraim@gmu.edu.  


Biographical Sketch

Yariv Ephraim received the D.Sc. degree in Electrical Engineering in 1984 from the Technion-Israel Institute of Technology, Haifa, Israel. During 1984-1985 he was a Rothschild Post-Doctoral Fellow at the Information Systems Laboratory, Stanford University, Palo Alto, CA. During 1985-1993 he was a Member of Technical Staff at the Information Principles Research Laboratory, AT&T Bell Labs, Murray Hill, NJ. In 1991 he joined George Mason University, Fairfax, VA, where he currently is Professor of Electrical and Computer Engineering. He received, together with William Roberts, the 1999-2000 EURASIP best paper award. He was elected Fellow of the IEEE in 1994. From 2006 to 2009 he was Associate Editor of the IEEE Transactions on Audio, Speech and Language Processing. He currently serves on the Editorial Board of Foundations and Trends in Signal Processing. Yariv Ephraim's primary research interests are in estimation and detection theory. His recent research work has focused on signal and parameter estimation of partially observable bivariate Markov processes in discrete and continuous time. His earlier research has focused on the development of parametric and non-parametric minimum mean square error speech enhancement systems.


Course Syllabi

Fall 2016:

ECE 460 Communication and Information Theory

ECE 528  Introduction to Random Processes in ECE 

Other Courses I teach:

ECE 728 Random Processes in Electrical and Computer Engineering 

ECE 630 Statistical Communication Theory 

ECE 734 Detection and Estimation Theory 

ECE 735 Data Compression 

ECE 751 Information Theory (Spring 2017)

ECE 752 Spectral Estimation


Selected Talks

·         My presentation on Hidden Markov Processes at the XXXVIème Journées de Statistique, Montpellier, France, 26 May 2004.


Selected Publications (Copyright Notice) Google Citations

 

 

·         Y. Sun, B. L. Mark, and Y. Ephraim, Collaborative Spectrum Sensing via Online Estimation of Hidden Bivariate Markov Models, IEEE Trans. on Wireless Communications. To appear.

 

·         Y. Sun, B. L. Mark, and Y. Ephraim, Online parameter estimation for temporal spectrum sensing, IEEE Trans. on Wireless Communications, vol. 14, no. 8, pp. 4105-4114, Aug. 2015.

 

·         Y. Ephraim and B. L. Mark, Causal recursive parameter estimation for discrete-time hidden bivariate Markov chains, IEEE Trans. on Signal Processing, vol. 63, pp. 2108-2117, April 2015.

·         B. L. Mark, and Y. Ephraim, Explicit causal recursive estimators for continuous-time bivariate Markov chains, IEEE Trans. on Signal Processing, vol. 62, pp. 2709-2718, May 2014.  

·         T. Nguyen, B. L. Mark, and Y. Ephraim, Spectrum sensing using a hidden bivariate Markov model, IEEE Trans. on Wireless Communications, vol. 12, pp. 4582-4591, Sept. 2013.

·         Y. Ephraim and B. L. Mark, Bivariate Markov processes and their estimation, Foundations and Trends in Signal Processing, vol. 6, no. 1, pp. 1-95, 2013.

·         Y. Ephraim and B. L. Mark, Consistency of maximum likelihood parameter estimation for bivariate Markov chains, Stochastic Models, 2013, 29, 89-111.

·         B. L. Mark and Y. Ephraim, An EM algorithm for continuous-time bivariate Markov chains, Computational Statistics and Data Analysis, 2013, 57, 504-517.

·         Y. Ephraim and B. L. Mark, Explicit forward recursive estimators for Markov modulated Markov processes, Stochastic Models, 2012, 28:3, 359-387.

·         Y. Ephraim and B. L. Mark, On forward recursive estimation for bivariate Markov chains, Information Sciences and Systems, CISS, Mar. 2012. 

·         Y. Ephraim and M. Tinston, Iterative Schur Complement and Multistage Wiener Filtering, SIAM. J. Matrix Anal. & Appl. Vol. 31, Issue 4, pp. 2222-2238 (2010)

·         Y. Ephraim and W. J. J. Roberts, An EM Algorithm for Markov modulated Markov Processes, IEEE Trans. Sig. Proc., vol. 57, pp. 463-470, Feb. 2009.

·         W. J. J. Roberts and Y. Ephraim, An EM Algorithm for Ion-Channel Current Estimation, IEEE Trans. Sig. Proc., vol. 56, pp. 26-33, Jan. 2008.

·         W. J. J. Roberts, Y. Ephraim, and E. Dieguez, On Ryden’s EM Algorithm for Estimating MMPP’s, IEEE Sig. Proc. Let., vol. 13, pp. 373-376, June 2006.

·         Y. Ephraim and I. Cohen, Recent Advancements in Speech Enhancement, The Electrical Engineering Handbook, CRC Press, 2006.

·         Y. Ephraim and W. J. J. Roberts, On Second-Order Statistics of Log-Periodogram with Correlated Components, IEEE Sig. Proc. Let., vol. 12, pp. 625-628, Sep. 2005.

·         Y. Ephraim, H. Lev-Ari and W. J. J. Roberts, A brief survey of Speech Enhancement, The Electronic Handbook, CRC Press, April 2005.

·         W. J. J. Roberts, Y. Ephraim, and H. W. Sabrin, Speaker classification using composite hypothesis testing and list decoding, IEEE Trans. Speech and Audio Proc., vol. 13, pp. 211-219, Mar. 2005.

·         Y. Ephraim and W. J. J. Roberts, Revisiting Autoregressive Hidden Markov Modeling of Speech Signals, IEEE Sig. Proc. Let., vol. 12,  pp. 166- 169, Feb. 2005.

·         H. Lev-Ari and Y. Ephraim, Extension of the signal subspace speech enhancement approach to colored noise, IEEE Sig. Proc. Let., vol. 10, pp. 104-106, April 2003.

·         Y. Ephraim and N. Merhav, Hidden Markov processes, IEEE Trans. Inform. Theory, vol. 48, pp. 1518-1569, June 2002.

·         Y. Ephraim and W. J. J. Roberts, On preprocessing for mismatched classification of Gaussian signals, IEEE Trans. Inform. Theory, vol. 47, pp. 1251 –1256, March 2001.

·         W. J. J. Roberts and Y. Ephraim, Hidden Markov modeling of speech using Toeplitz covariance matrices, Speech Communication, vol. 31, pp. 1-14, 2000.

·         K. L. Bell, Y. Ephraim, and H. L. Van Trees, A Bayesian approach to robust adaptive beamforming, IEEE Trans. on Signal Processing, vol. 48, pp. 386-398, Feb. 2000.

·         Y. Ephraim and M. Rahim, On second order statistics and linear estimation of cepstral coefficients, IEEE Trans. on Speech and Audio Processing, vol. 7, pp. 162-176, March 1999.

·         K. Bell, Y. Steinberg, Y. Ephraim and H. L. Van Trees, Extended Ziv-Zakai lower bound for vector parameter estimation, IEEE Trans. Inform. Theory, vol. 43, pp. 624-637, March 1997.

·         K. Bell, Y. Ephraim and H. L. Van Trees, Explicit Ziv-Zakai lower bounds for bearing estimation, IEEE Trans. Signal Processing, vol. 44, pp. 2810-2824, Nov. 1996.

·         Y. Ephraim, N. Merhav, and H. L. Van Trees, Min-norm interpretations and consistency of MUSIC, MODE and ML, IEEE Trans. Signal Processing, vol. 43, pp. 2937-2942, Dec. 1995.

·         Y. Ephraim and H. L. Van Trees, A signal subspace approach for speech enhancement, IEEE Trans. Speech and Audio Processing, vol. 3, pp. 251-266, July 1995.

·         Y. Ephraim, Statistical model based speech enhancement systems, IEEE Proc., vol. 80, pp. 1526-1555, Oct. 1992.  

·         Y. Ephraim and N. Merhav, Lower and upper bounds on the minimum mean square error in composite source signal estimation, IEEE Trans. Inform. Theory, vol. IT-38, pp.1709-1724, Nov. 1992.

·         Y. Ephraim, Gain adapted hidden Markov models for recognition of clean and noisy speech, IEEE Trans. Signal Processing, vol. SP-40, pp. 1303-1316, June 1992.

·         Y. Ephraim, A Bayesian estimation approach for speech enhancement using hidden Markov models, IEEE Trans. Signal Processing, vol. SP-40,  pp. 725-735, April 1992.

·         Y. Ephraim, State dependent dynamical system model for speech signals, 1992 Conference on Information Sciences and Systems, pp. 595-600, Princeton, Mar. 1992.

·         N. Merhav and Y. Ephraim, A Bayesian classification approach with application to speech recognition, IEEE Trans. Signal Processing, vol. SP-39, pp. 2157-2166, Oct. 1991.

·         N. Merhav and Y. Ephraim, Hidden Markov modeling using a dominant state sequence with application to speech recognition, Computer, Speech, and Language, vol. 5, no. 4, pp. 327-339, Oct. 1991.

·         Ljolje, Y. Ephraim, and L. R. Rabiner, Estimation of hidden Markov model parameters by minimizing empirical error rate, IEEE Int. Conf. on Acoust., Speech, Signal Processing, pp. 709-712, Albuquerque, Apr. 1990.

·         Y. Ephraim and L. R. Rabiner, On the relations between modeling approaches for speech recognition, IEEE Trans. Inform. Theory, vol. IT-36, pp. 372-380, Mar. 1990.  

·         Y. Ephraim, D. Malah, and B.-H. Juang, On the application of hidden Markov models for enhancing noisy speech, IEEE Trans. Acoust. Speech, Signal Processing, vol. ASSP-37, pp. 1846-1856, Dec. 1989.

·         Y. Ephraim, A. Dembo, and L. R. Rabiner, A minimum discrimination information approach for hidden Markov modeling, IEEE Trans. Inform. Theory, vol. IT-35, pp. 1001-1013, Sept. 1989.  

·         Y. Ephraim, H. Lev-Ari, and R. M. Gray, Asymptotic minimum discrimination information measure for asymptotically weakly stationary processes, IEEE Trans. Inform. Theory, vol. IT-34, pp. 1033-1040, Sept. 1988.  

·         Y. Ephraim and R. M. Gray, A unified approach for encoding clean and noisy sources by means of waveform and autoregressive model vector quantization, IEEE Trans. Inform. Theory, vol. IT-34, pp. 826-834, July 1988.

·         Y. Ephraim and D. Malah, Speech enhancement using a minimum mean square error log-spectral amplitude estimator, IEEE Trans. on Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 443-445, Apr. 1985.  

·         Y. Ephraim and D. Malah, Speech enhancement using a minimum mean square error short-time spectral amplitude estimator, IEEE Trans. on Acoust., Speech, Signal Processing, vol. ASSP-32, pp. 1109-1121, Dec. 1984.