Druck auf Anfrage Neuware - Printed after ordering - This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.

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Bibliographic Details

Title: An Introduction to Statistical Signal Processing
Publisher: Cambridge University Press
Publication Date: 2010
Language: English
ISBN 10: 0521131820
ISBN 13: 9780521131827
Binding: Taschenbuch
Condition: Neu
Dimensions: 244 millimeters width by 170 millimeters height by 26 millimeters depth
Weight: 818 grams

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This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book.

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