MATLAB software for the code excited linear prediction algorithm [electronic resource] : the Federal Standard, 1016 / Karthikeyan N. Ramamurthy and Andreas S. Spanias.

This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP MATLAB software to describe in detail several functions and parameter computations associated with analysis-by-synthesis linear prediction. The book begins with...

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Online Access: Full Text (via Morgan & Claypool)
Main Author: Ramamurthy, Karthikeyan N.
Other Authors: Spanias, Andreas
Other title:Synthesis digital library of engineering and computer science.
Format: Electronic eBook
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, ©2010.
Series:Synthesis lectures on algorithms and software in engineering (Online) ; # 3.
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Summary:This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP MATLAB software to describe in detail several functions and parameter computations associated with analysis-by-synthesis linear prediction. The book begins with a description of the basics of linear prediction followed by an overview of the FS-1016 CELP algorithm. Subsequent chapters describe the various modules of the CELP algorithm in detail. In each chapter, an overall functional description of CELP modules is provided along with detailed illustrations of their MATLAB implementation. Several code examples and plots are provided to highlight some of the key CELP concepts. The MATLAB code within this book can be found at http://www.morganclaypool.com/page/fs1016.
Item Description:Part of: Synthesis digital library of engineering and computer science.
Title from PDF title page (viewed on March 7, 2010)
Series from website.
Physical Description:1 electronic text (viii, 99 pages : illustrations) : digital file.
Bibliography:Includes bibliographical references (pages 93-98)
ISBN:9781608453856 (electronic bk.)
ISSN:1938-1735 ;
DOI:10.2200/S00252ED1V01Y201001ASE003