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Optimal Time-Domain Noise Reduction Filters : A Theoretical Study / by Jacob Benesty, Jingdong Chen.

Por: Colaborador(es): Tipo de material: TextoTextoSeries SpringerBriefs in Electrical and Computer Engineering ; 1Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: vii, 79 páginas 1 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642196010
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TK5102.9
Recursos en línea:
Contenidos:
Introduction -- Single-Channel Noise Reduction with a Filtering Vector -- Single-Channel Noise Reduction with a Rectangular Filtering Matrix -- Multichannel Noise Reduction with a Filtering Vector -- Multichannel Noise Reduction with a Rectangular Filtering Matrix.
Resumen: Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.
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Springer eBooks

Introduction -- Single-Channel Noise Reduction with a Filtering Vector -- Single-Channel Noise Reduction with a Rectangular Filtering Matrix -- Multichannel Noise Reduction with a Filtering Vector -- Multichannel Noise Reduction with a Rectangular Filtering Matrix.

Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.

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