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MATLAB (R) Software for the Code Excited Linear Prediction Algorithm - The Federal Standard-1016 (Paperback) Loot Price: R1,017
Discovery Miles 10 170
MATLAB (R) Software for the Code Excited Linear Prediction Algorithm - The Federal Standard-1016 (Paperback): Karthikeyan...

MATLAB (R) Software for the Code Excited Linear Prediction Algorithm - The Federal Standard-1016 (Paperback)

Karthikeyan Ramamurthy, Andreas Spanias

Series: Synthesis Lectures on Algorithms and Software in Engineering

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Loot Price R1,017 Discovery Miles 10 170 | Repayment Terms: R95 pm x 12*

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This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP MATLAB (R) 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 (R) implementation. Several code examples and plots are provided to highlight some of the key CELP concepts. Link to MATLAB (R) code found within the book Table of Contents: Introduction to Linear Predictive Coding / Autocorrelation Analysis and Linear Prediction / Line Spectral Frequency Computation / Spectral Distortion / The Codebook Search / The FS-1016 Decoder

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Algorithms and Software in Engineering
Release date: March 2010
First published: 2009
Authors: Karthikeyan Ramamurthy • Andreas Spanias
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 99
ISBN-13: 978-3-03-100386-8
Languages: English
Subtitles: English
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 3-03-100386-1
Barcode: 9783031003868

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