The theory of linear prediction Vaidyanathan, P. P. (2008) The theory of linear prediction. Synthesis Lectures on Signal Processing. No.3. Morgan & Claypool . ISBN 9781598295764. https://resolver.caltech.edu/CaltechBOOK:2008.004 Preview

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2773Kb Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechBOOK:2008.004 Abstract 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.

Item Type: Book Related URLs: URL URL Type Description https://doi.org/10.1002/2017GL07516310.2200/S00086ED1V01Y200712SPR03 DOI Book ORCID: Author ORCID Vaidyanathan, P. P. 0000-0003-3003-7042 Additional Information: © 2008 by Morgan & Claypool. Series Editor: José Moura, Carnegie Mellon University The pleasant academic environment provided by the California Institute of Technology and the generous support from the National Science Foundation and the Office of Naval Research have been crucial in developing some of the advanced materials covered in this book. Funders: Funding Agency Grant Number NSF UNSPECIFIED Office of Naval Research (ONR) UNSPECIFIED Subject Keywords: Electrical engineering, linear prediction theory, vector linear prediction, linear estimation, filtering, smoothing, line spectral processes, Levinson’s recursion, lattice structures, autoregressive models Series Name: Synthesis Lectures on Signal Processing Issue or Number: 3 Record Number: CaltechBOOK:2008.004 Persistent URL: https://resolver.caltech.edu/CaltechBOOK:2008.004 Official Citation: P. P. Vaidyanathan. The Theory of Linear Prediction. Morgan & Claypool Publishers, 2008. http://resolver.caltech.edu/CaltechBOOK:2008.004 Usage Policy: You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format. ID Code: 25063 Collection: CaltechBOOK Deposited By: Imported from CaltechBOOK Deposited On: 06 Feb 2008 Last Modified: 09 Mar 2020 13:19 Repository Staff Only: item control page