"This is an extremely useful book for anyone involved in digital audio technology. Some of it will even benefit readers with more general interests, if they are technically involved." ( Computing Reviews , March 6, 2009)
Well established in the consumer electronics industry, Digital Audio Signal Processing (DASP) techniques are use din audio CD, computer music and multimedia components. In addition, the applications afforded by this versatile technology now range from real-time signal processing to room simulation.
Digital Audio Signal Processing covers the latest signal processing algorithms for audio processing. Every chapter has been completely revised with an easy to understand introduction, and exercises have been provided on an accompanying website, which support the book by easy to access application examples.
Key features include:
- A thoroughly updated and revised second edition of the popular Digital Audio Signal Processing, a comprehensive coverage of the topic as a whole
- Provides basic principles and fundamentals for quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio coding
- Includes detailed accounts of studio technology, digital transmission systems, storage media and audio component for home entertainment
- Contains precise algorithm description and applications
- Provides a full account of the techniques of DASP showing their theoretical foundations and practical solutions
- Includes updated computer-based exercises and an accompanying website featuring Web-based interactive JAVA-Applets for audio processing
This essential guide to DASP will serve as an invaluable reference to audio engineering professionals, R&D engineers, researchers in industries and academia, and developers in IT companies. Advanced students studying multimedia courses will also find this book of interest.
Produktdetaljer
Biografisk notat
Professor Udo Zölzer, Hamburg, Germany
Professor Zölzer is a Professor and Head of the Department of Signal Processing and Communications, Helmut Schmidt University, University of the Federal Armed Forces, Hamburg, Germany since 1999. His research interests include audio and video signal processing and communications.