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MATLAB software for the code excited linear prediction algorithm

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9781608453856

MATLAB software for the code excited linear prediction algorithm est un coding theory, vocoder book de Karthikeyan N. Ramamurthy.

À propos de ce livre

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.

À propos de l'auteur

Karthikeyan N. Ramamurthy est l'auteur de MATLAB software for the code excited linear prediction algorithm. Parcourez son catalogue complet sur Booklogr.

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Quel est le genre de MATLAB software for the code excited linear prediction algorithm ?+

MATLAB software for the code excited linear prediction algorithm est un livre de Coding theory, Vocoder, Signal processing, MATLAB, Speech processing systems.

De quoi parle MATLAB software for the code excited linear prediction algorithm ?+

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 ...

Qui a écrit MATLAB software for the code excited linear prediction algorithm ?+

MATLAB software for the code excited linear prediction algorithm a été écrit par Karthikeyan N. Ramamurthy.