This book provides an in-depth treatment of algorithms and standards for perceptual coding of high-fidelity audio. This is a self-contained reference in the sense that it surveys and addresses all aspects of the field including signal processing and perceptual (psychoacoustic) fundamentals, details on relevant research and signal models, details on standardization and applications and details on performance measures and perceptual measurement systems. It includes a comprehensive bibliography containing over 600 references.
2. Signal Processing Essentials.
3. Quantization and Entropy Coding.
4. Linear Prediction in Narrowband and Wideband Coding.
5. Psychoacoustic Principles.
6. Time-Frequency Analysis: Filter Banks and Transforms.
7. Transform Coders.
8. Subband Coders.
9. Sinusoidal Coders.
10. Audio Coding Standards and Algorithms.
11. Lossless Audio Coding and Digital Watermarking.
12. Quality Measures for Perceptual Audio Coding.
Andreas Spanias is a Professor in the Department of Electrical Engineering Fulton School of Engineering at Arizona State University. His research interests are in the areas of adaptive signal processing and speech processing. While at ASU, he has developed and taught continuing education short courses and web courses in digital signal processing and speech coding.
Ted Painter joined the systems engineering division of the Cellular and Handheld Group at Intel Corporation, where he has been primarily concerned with architectural analyses, performance modeling and the development of high-performance multimedia software libraries optimized for mobile handset application processors based on the Intel® XScaleTM technology and Intel® Wireless MMXTM technology.
Venkatraman Atti received his MS degree in Electrical Engineering from Arizona State University in 2002. He is currently pursuing a PhD degree in Electrical Engineering at ASU.