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|9 978-0-306-47042-4
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|a Applications of Digital Signal Processing to Audio and Acoustics
|h [electronic resource] /
|c edited by Mark Kahrs, Karlheinz Brandenburg.
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|a Boston, MA :
|b Springer US,
|c 2002.
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|a XXXII, 548 p.
|b online resource.
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|b txt
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|a The International Series in Engineering and Computer Science,
|x 0893-3405 ;
|v 437
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|a Audio Quality Determination Based on Perceptual Measurement Techniques -- Perceptual Coding of High Quality Digital Audio -- Reverberation Algorithms -- Digital Audio Restoration -- Digital Audio System Architecture -- Signal Processing for Hearing Aids -- Time and Pitch Scale Modification of Audio Signals -- Wavetable Sampling Synthesis -- Audio Signal Processing Based on Sinusoidal Analysis/Synthesis -- Principles of Digital Waveguide Models of Musical Instruments.
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|a 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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|a Engineering.
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|a Multimedia information systems.
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|a Electrical engineering.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a Multimedia Information Systems.
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|a Electrical Engineering.
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| 700 |
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|a Kahrs, Mark.
|e editor.
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|a Brandenburg, Karlheinz.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9780792381303
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| 830 |
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|a The International Series in Engineering and Computer Science,
|x 0893-3405 ;
|v 437
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/b117882
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a ZDB-2-BAE
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|a Engineering (Springer-11647)
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