Statistical and Adaptive Signal Processing : Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.

Stephen M. Kogon is a member of the technical staff at M.I.T. Lincoln Laboratory, and has been associated with Raytheon Co., Boston College, and Georgia Tech Research Institute. Vinay K. Ingle is an associate professor of electrical and computer engineering at Northeastern University. Dimitris G. Manolakis is a member of the technical staff at M.I.T. Lincoln Laboratory and taught at the University of Athens, Northeastern University, Boston College, and Worcester Polytechnic Institute.