Array Signal Processing

S. Unnikrishna Pillai

ISBN 10: 1461281865 / ISBN 13: 9781461281863

Published by Springer, Springer Sep 2011, 2011

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 236 pp. Englisch.

Seller Inventory # 9781461281863

Bibliographic Details

• Title: Array Signal Processing
• Publisher: Springer, Springer Sep 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 1461281865
• ISBN 13: 9781461281863
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 365 grams

About this title

Synopsis

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.

About the Author

Unnikrishna Pillai, is a Professor of Electrical and Computer Engineering at Polytechnic School of Engineering, New York University(NYU). Pillai teaches Probability, Stochastic Processes, Detection, Estimation all catered to Electrical Engineering applications. Dr. Pillai joined the Electrical Engineering department of Polytechnic Institute of New York (Brooklyn Poly) in 1985 as an Assistant Professor after graduating from University of Pennsylvania with a PhD in Systems Engineering (1985), and from IIT, Kanpur, India with an MS in Electrical Engineering in 1982. His research interests include system identification, adaptive signal processing, synthetic aperture radar (SAR) imaging, radar signal processing and waveform design as well as Portfolio design. He has coauthored five textbooks/monographs and two e-books mostly related to electrical engineering. Within the classroom, he has started generating short video sessions (on You Tube) to complement (compensate) his lectures, wherein students can review key material and examples and work out problems before and after the class sessions.