MATLAB® Software for the Code Excited Linear Prediction Algorithm - Spanias, Andreas

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Résumé :
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. Link to MATLAB? 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

Biographie:
Karthikeyan Natesan Ramamurthy is a research staff member in the Business Solutions and Mathematical Sciences department at the IBM Thomas J. Watson Research Center in Yorktown Heights, NY. He received his M.S. and Ph.D. degrees in Electrical Engineering from Arizona State University. His research interests are in the areas of low-dimensional signal models, machine learning, data analytics, and computer vision. He has been a reviewer for a number of IEEE and Elsevier journals and conferences. Andreas Spanias is a professor in the Department of Electrical Engineering, Fulton School of Engineering at Arizona State University. He is also the director of the SenSIP consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. Prof. Spanias has collaborated with Intel Corporation, Sandia National Labs, Motorola, Texas Instruments, DTC, Freescale, Microchip, and Active Noise and Vibration Technologies. He and his student team developed the computer simulation software Java-DSP ( J-DSP...

Sommaire:
Introduction to Linear Predictive Coding.- Autocorrelation Analysis and Linear Prediction.- Line Spectral Frequency Computation.- Spectral Distortion.- The Codebook Search.- The FS-1016 Decoder.