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The theory of linear prediction (Record no. 561543)

000 -LEADER
fixed length control field 06573nam a2200637 i 4500
001 - CONTROL NUMBER
control field 6813346
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152847.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr bn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 081019s2008 caua fob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1598295764 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781598295764 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1598295756 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781598295757 (pbk.)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00086ED1V01Y200712SPR003
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)191702399
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)gtp00531442
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279.2
Item number .V35 2008
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.287
Edition number 22
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR)
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) MoCl
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Vaidyanathan, P. P.
245 14 - TITLE STATEMENT
Title The theory of linear prediction
Medium [electronic resource] /
Statement of responsibility, etc. P.P. Vaidyanathan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of publisher, distributor, etc. Morgan & Claypool Publishers,
Date of publication, distribution, etc. c2008.
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic text (xiv, 183 p. : ill.) :
Other physical details digital file.
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on signal processing,
International Standard Serial Number 1932-1694 ;
Volume/sequential designation #3
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
500 ## - GENERAL NOTE
General note Series from website.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 171-175) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1. History of linear prediction -- 1.2. Scope and outline -- 2. The optimal linear prediction problem -- 2.1. Introduction -- 2.2. Prediction error and prediction polynomial -- 2.3. The normal equations -- 2.4. Properties of the autocorrelation matrix -- 2.5. Estimating the autocorrelation -- 2.6. Concluding remarks -- 3. Levinson's recursion -- 3.1. Introduction -- 3.2. Derivation of Levinson's recursion -- 3.3. Simple properties of Levinson's recursion -- 3.4. The whitening effect -- 3.5. Concluding remarks -- 4. Lattice structures for linear prediction -- 4.1. Introduction -- 4.2. The backward predictor -- 4.3. Lattice structures -- 4.4. Concluding remarks -- 5. Autoregressive modeling -- 5.1. Introduction -- 5.2. Autoregressive processes -- 5.3. Approximation by an AR(N) processes -- 5.4. Autocorrelation matching property -- 5.5. Power spectrum of the AR model -- 5.6. Application in signal compression -- 5.7. MA and ARMA processes -- 5.8. Summary -- 6. Prediction error bound and spectral flatness -- 6.1. Introduction -- 6.2. Prediction error for an AR process -- 6.3. A measure of spectral flatness -- 6.4. Spectral flatness of an AR process -- 6.5. Case where signal is not AR -- 6.6. Maximum entropy and linear prediction -- 6.7. Concluding remarks -- 7. Line spectral processes -- 7.1. Introduction -- 7.2. Autocorrelation of a line spectral process -- 7.3. Time domain descriptions -- 7.4. Further properties of time domain descriptions -- 7.5. Prediction polynomial of line spectral processes -- 7.6. Summary of properties -- 7.7. Identifying a line spectral process in noise -- 7.8. Line spectrum pairs -- 7.9. Concluding remarks -- 8. Linear prediction theory for vector processes -- 8.1. Introduction -- 8.2. Formulation of the vector LPC problem -- 8.3. Normal equations : vector case -- 8.4. Backward prediction -- 8.5. Levinson's recursion : vector case -- 8.6. Properties derived from Levinson's recursion -- 8.7. Transfer matrix functions in vector LPC -- 8.8. The FIR lattice structure for vector LPC -- 8.9. The IIR lattice structure for vector LPC -- 8.10. The normalized IIR lattice -- 8.11. The paraunitary or MIMO all-pass property -- 8.12. Whitening effect and stalling -- 8.13. Properties of transfer matrices in LPC theory -- 8.14. Concluding remarks -- A. Linear estimation of random variables -- A.1. The orthogonality principle -- A.2. Closed-form solution -- A.3. Consequences of orthogonality -- A.4. Singularity of the autocorrelation matrix -- B. Proof of a property of autocorrelations -- C. Stability of the inverse filter -- D. Recursion satisfied by AR autocorrelations -- Problems -- References -- Author biography -- Index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
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.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Available also in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF t.p. (viewed Oct. 19, 2008).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Prediction theory.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Linear prediction theory.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Vector linear prediction.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Linear estimation.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Filtering.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Smoothing.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Line spectral processes.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Levinson's recursion.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Lattice structures.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Autoregressivemodels.
730 0# - ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on signal processing,
International Standard Serial Number 1932-1694 ;
Volume/sequential designation #3.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6813346
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier http://dx.doi.org/10.2200/S00086ED1V01Y200712SPR003
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE043 2020-04-13 2020-04-13 E books

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