Authors are well known and highly recognized by the "acoustic echo and noise community."
Presents a detailed description of practical methods to control echo and noise
Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods
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EBERHARD HÄNSLER, Dr.-Ing., is Professor of Electrical Engineering at the Darmstadt University of Technology, Darmstadt, Germany.
GERHARD SCHMIDT, Dr.-Ing., is a Research Engineer at Temic Speech Dialog Systems in Ulm, Germany.
Essential theory and proven techniques for acoustic echo and noise suppression
Today?s voice communication systems, with their increasing demand for user comfort, necessitate a growing focus on acoustic noise suppression and echo reduction. Drawing on the results of a twenty-year career with the Signal Theory Group at Darmstadt University of Technology, Darmstadt, Germany, Acoustic Echo and Noise Control: A Practical Approach addresses proven methods for suppressing acoustic echoes and noise in various sound systems, from hands-free telephones to video conferencing systems, hearing aids, and speech recognition systems.
With emphasis on single-channel systems, the authors, both recognized experts in the field, deliver a combination of theoretical research and practical solutions to acoustical problems across a broad range of industries. In addition to presenting a detailed description of practical methods for controlling acoustic echoes and noise, they also develop a theory for optimal control parameters and present practical estimation and approximation methods.
Some of the topics covered include:
Requiring only a basic knowledge of linear systems theory and digital signal processing, this text offers an ideal resource for students, researchers, and systems engineers seeking to familiarize themselves with the latest developments and practical applications in this fascinating field.
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Condizione: New. This book cannot be praised enough. It doesn t contain everything known and done in the area of acoustic echo cancellation and noise suppression, which would be virtually impossible, since papers on that subject are published daily, and patents number in t. Codice articolo 556561261
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