Statistics and Adaptive Signal Processing

Author: Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon
Publisher:
Publish Date: 2003-08-01
Features:
1. The book contains very rich content, covering the fundamental theories and methods of spectral estimation, signal modeling, adaptive filtering, and array signal processing. The book is co-authored by three scholars from the Massachusetts Institute of Technology and Northeastern University in the United States. Among them, Dr. Manolakis, the first author, and Professor Ingle, the second author, have been teaching signal processing courses at multiple universities in recent years and have extensive research experience. They have also published several other textbooks on signal processing. Dr. Kogon, the third author, primarily focuses on research in signal processing. The rich teaching experience and in-depth research in signal processing by the three scholars make this book both theoretically advanced and practically oriented. Therefore, the book is not only suitable as a textbook or teaching reference for graduate students in fields such as electronics, communications, automation, electrical engineering, biomedical and bioinformatics, and mechanical engineering but also serves as a self-study guide or reference for a broad range of engineering professionals.