Description: Fundamentals of Statistical Signal Processing : Estimation Theory, Hardcover by Kay, Steven M., ISBN 0133457117, ISBN-13 9780133457117, Brand New, Free shipping in the US The outgrowth of a one-semester graduate level course on estimation theory given at the U. of Rhode Island, this text strikes a balance between the highly theoretical expositions written by statisticians and the practical treatments contributed by the many users of applied statistics. The primary focus is on obtaining optimal estimation algorithms that may be implemented on a computer. The background assumed is exposure to the basic theory of signal processing, probability and random processes, and linear and matrix algebra. Annotation copyright Book News, Inc. Portland, Or.
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Book Title: Fundamentals of Statistical Signal Processing : Estimation Theory
Number of Pages: 608 Pages
Publication Name: Fundamentals of Statistical Processing Vol. I : Estimation Theory, Volume 1
Language: English
Publisher: Pearson Education
Publication Year: 1993
Item Height: 1.2 in
Subject: Signals & Signal Processing, Probability & Statistics / Stochastic Processes
Item Weight: 36.3 Oz
Type: Textbook
Subject Area: Mathematics, Technology & Engineering
Item Length: 9.5 in
Author: Steven Kay
Item Width: 7.1 in
Format: Hardcover
