Department of Electrical and

Computer Engineering

MSN 1G5

George Mason University

4400 University Drive

Fairfax, VA 22030-4444

Email: yephraim@gmu.edu

*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.

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.

ECE 528 Introduction to Random Processes in ECE

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.