Bernard Widrow, Samuel D.Stearns – Adaptive signal processing


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.

Book Type

Computer Science and Electronics & Telecommunication Text Book.





Number of Pages:


ISBN – 10


Copyright Year


The Adaptive Signal Processing Published On:


Resource For

Computer Science and Electronics & Telecommunication Engineering students and professionals.

Table of Contents/Index/Syllabus of Adaptive Signal Processing:


Adaptive Systems

The Adaptive Linear Combiner


Properties of the Quadratic Performance Surface

Searching The Performance Surface

Gradient Estimation and Its Effects on Adaptation


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.

Salient features:

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.




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