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Applications of digital signal processing to audio and acoustics /

With the advent of `multimedia', digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing to become a research field of its own. To date, most research in DSP applied to sound has been concentrated on speech, which is bandwidth limited to about...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kahrs, Mark, Brandenburg, Karlheinz, 1954-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Kluwer Academic, ©2002.
Colección:Kluwer international series in engineering and computer science ; SECS 437.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Applications of digital signal processing to audio and acoustics /  |c edited by Mark Kahrs, Karlheinz Brandenburg. 
260 |a New York :  |b Kluwer Academic,  |c ©2002. 
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490 1 |a The Kluwer international series in engineering and computer science ;  |v SECS 437 
504 |a Includes bibliographical references (pages 467-534) and index. 
520 |a With the advent of `multimedia', digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing to become a research field of its own. To date, most research in DSP applied to sound has been concentrated on speech, which is bandwidth limited to about 4 kilohertz. Speech processing is also limited by the low fidelity typically expected in the telephone network. Today, the main applications of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including perceptual measurement techniques and analysis/synthesis methods. Additional 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 frequency range of wideband audio has an upper limit of 20 kilohertz and the resulting difference in frequency range and Signal to Noise Ratio (SNR) due to sample size must be taken into account when designing DSP algorithms. There are whole classes of algorithms that the speech community is not interested in pursuing or using. These algorithms and techniques are revealed in this book. This book is suitable for advanced level courses and serves as a valuable reference for researchers in the field. Interested and informed engineers will also find the book useful in their work. 
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650 0 |a Sound  |x Recording and reproducing. 
650 0 |a Signal processing  |x Digital techniques. 
650 0 |a Speech processing systems. 
650 0 |a Multimedia systems. 
650 6 |a Son  |x Enregistrement et reproduction. 
650 6 |a Traitement du signal  |x Techniques numériques. 
650 6 |a Traitement automatique de la parole. 
650 6 |a Multimédia. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Electrical.  |2 bisacsh 
650 7 |a Multimedia systems  |2 fast 
650 7 |a Signal processing  |x Digital techniques  |2 fast 
650 7 |a Sound  |x Recording and reproducing  |2 fast 
650 7 |a Speech processing systems  |2 fast 
650 1 7 |a Signaalverwerking.  |2 gtt 
650 1 7 |a Digitale technieken.  |2 gtt 
650 1 7 |a Akoestische fonetiek.  |2 gtt 
700 1 |a Kahrs, Mark. 
700 1 |a Brandenburg, Karlheinz,  |d 1954-  |1 https://id.oclc.org/worldcat/entity/E39PBJd3PjwdqxBvMVdtCg384q 
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