Audio Signal Processing and Coding

Name: Audio Signal Processing and Coding
Rating: 3.6666667461395264 (3 reviews)

Andreas Spanias · Ted Painter · Venkatraman Atti

feb. 2007 · John Wiley & Sons

3,7

3 recenzii

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488

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Despre această carte electronică

An in-depth treatment of algorithms and standards for perceptual coding of high-fidelity audio, this self-contained reference surveys and addresses all aspects of the field. Coverage includes 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 with over 600 references, computer exercises, and MATLAB-based projects for use in EE multimedia, computer science, and DSP courses. An ftp site containing supplementary material such as wave files, MATLAB programs and workspaces for the students to solve some of the numerical problems and computer exercises in the book can be found at ftp://ftp.wiley.com/public/sci_tech_med/audio_signal

Evaluări și recenzii

3,7

3 recenzii

Despre autor

ANDREAS SPANIAS, PhD, is Professor in Electrical Engineering at Arizona State University (ASU). He has led the development of the award-winning online software Java-DSP. His research interests include adaptive filters, speech/audio processing, multimedia, and sensor arrays. He is an IEEE Fellow and co-recipient of the IEEE Donald Fink Prize Paper Award for his work on audio coding. He was recognized by Intel Corporation for his contributions to the 60172 architecture. He is currently Associate Director of the ASU AME program and Co-Director of the ASU SenSIP Center.

TED PAINTER, PhD, obtained his doctorate at ASU in 2000. He is a multimedia software architect in the Mobility and Wireless Group at Intel Corporation. His work focuses on architectural analysis, high-performance multimedia software design for mobile handsets, and definition of industry standards. He is editor of the Khronos OpenMAX DL specification. His research interests include psychoacoustics and speech and audio processing. He is co-recipient of the IEEE Donald Fink Prize Paper Award for his work on perceptual coding of digital audio.

VENKATRAMAN ATTI, PhD, obtained his doctorate at ASU in 2006. He currently works as a senior engineer at Acoustic Technologies, Inc. While at ASU, he contributed to speech and audio coding, and to the Java-DSP package. His work in integrating perceptual criteria in linear predictive coding was nominated for an award at IEEE ICASSP-2005. At Acoustics Technologies, his work focuses on research and development of acoustic echo cancellation and noise reduction algorithms.

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