|
John Proakis, Ph.D.
Abstract:
This presentation is focused on equalization of multiple-input, multiple-output (MIMO) wireless communication systems that employ multiple transmit and receive antennas to increase the data rate and to achieve signal diversity in fading multipath channels. Two scenarios in the equalization of MIMO systems are considered. One is a point-to-point MIMO system in which the channel characteristics are known at the receiver only and, hence, the equalization is performed at the receiver. The second is a point-to-multipoint (broadcast) MIMO system in which the channel characteristics are known at the transmitter. In this case, the equalization is performed at the transmitter. Both linear and nonlinear equalization algorithms are presented.
Biography:
John Proakis received the BSEE from the University of Cincinnati in 1959, the MSEE from MIT in 1961 and the Ph.D. from Harvard University in 1967. He is an Adjunct Professor at the University of California at San Diego and a Professor Emeritus at Northeastern University. He was a faculty member at Northeastern University from 1969 through 1998 and held the following academic positions: Associate Professor of Electrical Engineering, 1969-1976; Professor of Electrical Engineering, 1976-1998; Associate Dean of the College of Engineering and Director of the Graduate School of Engineering, 1982-1984; Interim Dean of the College of Engineering, 1992-1993; Chairman of the Department of Electrical and Computer Engineering, 1984-1997. Prior to joining Northeastern University, he worked at GTE Laboratories and the MIT Lincoln Laboratory.
He is the author of the book Digital Communications (New York: McGraw-Hill, 2001, fourth edition), and co-author of the books, Introduction to Digital Signal Processing (Upper Saddle River: Prentice Hall, 2007, fourth edition); Digital Signal Processing Laboratory (Englewood Cliffs: Prentice Hall, 1991); Advanced Digital Signal Processing (New York: Macmillan, 1992); Algorithms for Statistical Signal Processing (Upper Saddle River: Prentice Hall, 2002); Discrete-Time Processing of Speech Signals (New York: Macmillan, 1992, IEEE Press, 2000); Communication Systems Engineering, (Upper Saddle River: Prentice Hall, 2002, second edition); Digital Signal Processing Using MATLAB V.4 (Boston: Brooks/Cole-Thomson Learning, 2007, second edition); Contemporary Communication Systems Using MATLAB (Boston: Brooks/Cole-Thomson Learning, 2004, second edition); Fundamentals of Communication Systems (Upper Saddle River: Prentice Hall, 2005).
His professional experience and interests are in the general areas of digital communications and digital signal processing.
Friday, June 1st at 11 a.m. (A mini-reception will follow the seminar.)
Bossone Auditorium
|
