Yariv Ephraim

Professor

Department of Electrical and
Computer Engineering
MSN 1G5
George Mason University
4400 University Drive
Fairfax, VA 22030-4444
(yephraim@gmu.edu)

Office Hours (Fall 1999) :

Monday 3:00-4:00 PM
Friday 1:00-2:00 PM (By Appointment)

Biographical Sketch

Yariv Ephraim received the D.Sc. in Electrical Engineering in 1984 from the Technion-Israel Institute of Technology, Haifa, Israel. He has been with George Mason University, Fairfax, Virginia, since 1991, where he is Professor of Electrical and Computer Engineering. He was a Member of Technical Staff at AT&T Bell Laboratories, Murray Hill, New Jersey, from 1985 until 1993, and a Rothschild Post-Doctoral Fellow at Stanford University, Palo Alto, California, from 1984 through 1985. His current research interests are in statistical signal processing with applications to speech signals and array processing. He was elected Fellow of the IEEE in 1994 for his ``Contributions to the Theory and Application of Statistical Speech Enhancement.''

Course Materials

ECE 460 Communication and Information Theory

ECE 528 Random Processes in Electrical and Computer Engineering

ECE 728 Random Processes in Electrical and Computer Engineering II

ECE 735 Data Compression

INFT 885 Spectral Estimation

INFT 886 Information Theory

Recent Journal Publications

A Bayesian Approach to Robust Adaptive Beamforming, K. L. Bell, Y. Ephraim, and H. L. Van Trees, to appear in IEEE Trans. on Signal Processing .

On Second Order Statistics and Linear Estimation of Cepstral Coefficients, Y. Ephraim and M. Rahim, IEEE Trans. on Speech and Audio Processing, vol. 7, pp. 162-176, March 1999.

Extended Ziv-Zakai Lower Bound for Vector Parameter Estimation, K. L. Bell, Y. Steinberg, Y. Ephraim, and H. L. Van Trees, IEEE Trans. Information Theory, vol. 43, pp.624-637, March 1997.

Explicit Ziv-Zakai Lower Bound for Bearing Estimation K. L. Bell, Y. Ephraim, and H. L. Van Trees, IEEE Trans. Signal Processing, vol. 44, pp. 2810-2824, Nov. 1996.

Min-Norm Interpretations and Consistency of MUSIC, MODE and ML , Y. Ephraim, N. Merhav and H. L. Van Trees, IEEE Trans. on Signal Processing, vol. 43, pp. 2937-2942, Dec. 1995

A Signal Subspace Approach for Speech Enhancement , Y. Ephraim and H. L. Van Trees, IEEE Trans. on Speech and Audio Processing, vol. 3, pp. 251-266, July 1995

A Unified Approach for Encoding Clean and Noisy Sources By Means of Waveform and Autoregressive Model Vector Quantization , Y. Ephraim and R. M. Gray, IEEE Trans. Inform. Theory, vol. IT-34, pp. 826-834, July 1988. ,