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Applications of Digital Signal Processing to Audio and Acoustics

267,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 180b9ef0e49eac4790a4168eebe63f3037
Themengebiete: Audio Hardware Signal acoustics algorithms audio signal processing coding digital signal processing digital signal processor multimedia
Veröffentlichungsdatum: 31.03.1998
EAN: 9780792381303
Sprache: Englisch
Seitenzahl: 548
Produktart: Gebunden
Herausgeber: Brandenburg, Karlheinz Kahrs, Mark
Verlag: Springer US
Produktinformationen "Applications of Digital Signal Processing to Audio and Acoustics"
Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.

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