9781461281863-1461281865-Array Signal Processing (Signal Processing and Digital Filtering)

Array Signal Processing (Signal Processing and Digital Filtering)

ISBN-13: 9781461281863
ISBN-10: 1461281865
Edition: Softcover reprint of the original 1st ed. 1989
Author: S. Unnikrishna Pillai
Publication date: 2011
Publisher: Springer
Format: Paperback 232 pages
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Book details

ISBN-13: 9781461281863
ISBN-10: 1461281865
Edition: Softcover reprint of the original 1st ed. 1989
Author: S. Unnikrishna Pillai
Publication date: 2011
Publisher: Springer
Format: Paperback 232 pages

Summary

Array Signal Processing (Signal Processing and Digital Filtering) (ISBN-13: 9781461281863 and ISBN-10: 1461281865), written by authors S. Unnikrishna Pillai, was published by Springer in 2011. With an overall rating of 3.5 stars, it's a notable title among other AI & Machine Learning (Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Telecommunications & Sensors, Engineering, Computer Science) books. You can easily purchase or rent Array Signal Processing (Signal Processing and Digital Filtering) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book is intended as an introduction to array signal process ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi bly estimate the signals and their parameters present in the scene. The advantages of using an array in place of a single receiver have extended its applicability into many fields including radar, sonar, com munications, astronomy, seismology and ultrasonics. The primary emphasis here is to focus on the detection problem and the estimation problem from a signal processing viewpoint. Most of the contents are derived from readily available sources in the literature, although a cer tain amount of original material has been included. This book can be used both as a graduate textbook and as a reference book for engineers and researchers. The material presented here can be readily understood by readers having a back ground in basic probability theory and stochastic processes. A prelim inary course in detection and estimation theory, though not essential, may make the reading easy. In fact this book can be used in a one semester course following probability theory and stochastic processes.
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