Bernard Widrow, Samuel D.Stearns – Adaptive signal processing
Overview of Adaptive Signal Processing:
These are a few examples of the chapter titles in this new book by Bernard Widrow and Samuel D. Stearns. The authors designed the book as a basic text on adaptive signal processing covering a wide range of subject matter.
A background in engineering and mathematics plus an ability to write and run computer programs is assumed.
Computer Science and Electronics & Telecommunication Text Book.
Number of Pages:
ISBN – 10
The Adaptive Signal Processing Published On:
Computer Science and Electronics & Telecommunication Engineering students and professionals.
Table of Contents/Index/Syllabus of Adaptive Signal Processing:
Part I: GENERAL INTRODUCTION
The Adaptive Linear Combiner
Part-II: THEORY OF ADAPTATION WITH STATIONARY SIGNALS
Properties of the Quadratic Performance Surface
Searching The Performance Surface
Gradient Estimation and Its Effects on Adaptation
Part-III: ADAPTIVE ALGORITHMS AND STRUCTURES
The LMS Algorithm
The z-Transform in Adaptive Signal Processing
Other Adaptive Algorithms and Structures
Adaptive Modeling and System Identification
Inverse Adaptive Modeling, Deconvolution, and Equalization
Adaptive Interference Canceling
Introduction to Adaptive Arrays and Adaptive Beamforming
Analysis of Adaptive Beamformers
About Author of Adaptive Signal Processing:
Bernard Widrow,Samuel D. Stearns
Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University.He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff.The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering.
Samuel D. Stearns is Professor Emeritus at the University of New Mexico, Albuquerque, NM. He has been a Research Professor of Electrical and Computer Engineering at UNM since 1999, and involved in adjunct teaching and research at UNM since 1960.
His principal technical areas are digital signal processing and adaptive signal processing. His most recent work has been in teaching these subjects at the University of New Mexico and in industrial short courses, as well as in consulting.
Introduces the concept of adaptation as a property or characteristic of certain engineering systems.
Describes a geometric “performance surface” for the analysis of all adaptive systems.
Covers the major applications of adaptive signal processing.
About Pearson Education:
Pearson Education India specializes in the publication of academic and reference books in the fields of computer science, engineering, business & management, professional & trade, higher education and competitive examination preparation books. Pearson Education India is also India’s foremost publisher in the school segment (K-12), with book lists in English language teaching (ELT), the humanities, sciences and mathematics, from primary to senior secondary classes.
Bernard Widrow, an internationally-recognised authority in the field of quantization, is a professor of electrical engineering at Stanford University, Californica. He pioneered the field and one of his papers on the topic is the standard reference. He is a Fellow of the IEEE and the AAAS, a member of the US National Academy of Engineering, and the winner of numerous prestigious awards.