Digital Signal Processing and Statistical Classification

Statistical digital signal processing (DSP) has a wide range of applications in the areas of speech, image, video and data for the world of wireless communication, as well as in acoustics, radar, sonar, remote sensing, digital instrumentation and consumer electronics. Covering the fundamentals of this technology, this book provides a technical reference and research tool for practising engineers and for graduate students in both electrical and computer engineering.

George J. Miao holds B.Eng. degree from Shanghai University of Science and Technology, M.S. degree from Columbia University, and Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology. He has 14 years experience and specializes in digital signal processing with applications in multimedia, wireless and wireline digital communications. He has worked on DSP-based communication systems and architecture design for many companies, including Motorola, Fujitsu Network Communications, Hewlett-Packard, and Intel. He has published over 35 technical papers, and holds several U.S. patents pending. Dr. Miao has been listed in the International Who's Who of Information Technology since 1999.

Mark A. Clements is a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, and director of the Interactive Media Technology Center. He holds B.S., S.M., E.E., and Sc.D. degrees, all in Electrical Engineering and Computer Science, from the Massachusetts Institute of Technology. He has published over 100 technical papers and holds several U.S. patents. He is also the co-author of Objective Measures of Speech Quality (Prentice Hall, 1988). He has served as a member of the IEEE Speech Technical Committee and has been an Associate Editor for speech in IEEE Transactions on Speech and Audio. Dr. Clements was technical program co-chairman of Speech Tech in 1986, and Technical Program Chair of the IEEE ICASSP in 1996.