The Theory of Linear Prediction (Record no. 85173)

000 -LEADER
fixed length control field 04149nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-02527-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163953.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2008 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025273
-- 978-3-031-02527-3
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Vaidyanathan, P.P.
245 14 - TITLE STATEMENT
Title The Theory of Linear Prediction
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2008.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 183 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Signal Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- The Optimal Linear Prediction Problem -- Levinson's Recursion -- Lattice Structures for Linear Prediction -- Autoregressive Modeling -- Prediction Error Bound and Spectral Flatness -- Line Spectral Processes -- Linear Prediction Theory for Vector Processes -- Appendix A: Linear Estimation of Random Variables -- B: Proof of a Property of Autocorrelations -- C: Stability of the Inverse Filter -- Recursion Satisfied by AR Autocorrelations.
520 ## - SUMMARY, ETC.
Summary, etc Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses on linear prediction. This has enabled detailed discussion of a number of issues that are normally not found in texts. For example, the theory of vector linear prediction is explained in considerable detail and so is the theory of line spectral processes. This focus and its small size make the book different from many excellent texts which cover the topic, including a few that are actually dedicated to linear prediction. There are several examples and computer-based demonstrations of the theory. Applications are mentioned wherever appropriate, but the focus is not on the detailed development of these applications. The writing style is meant to be suitable for self-study as well as for classroom use at the senior and first-year graduate levels. The text is self-contained for readers with introductory exposure to signal processing, random processes, and the theory of matrices, and a historical perspective and detailed outline are given in the first chapter. Table of Contents: Introduction / The Optimal Linear Prediction Problem / Levinson's Recursion / Lattice Structures for Linear Prediction / Autoregressive Modeling / Prediction Error Bound and Spectral Flatness / Line Spectral Processes / Linear Prediction Theory for Vector Processes / Appendix A: Linear Estimation of Random Variables / B: Proof of a Property of Autocorrelations / C: Stability of the Inverse Filter / Recursion Satisfied by AR Autocorrelations.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02527-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2008.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Technology and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1694
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-- ZDB-2-SXSC

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