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Optimal Time-Domain Noise Reduction FiltersSingle-Channel Noise Reduction with a Filtering Vector

Optimal Time-Domain Noise Reduction Filters: Single-Channel Noise Reduction with a Filtering Vector [There are different ways to perform noise reduction in the time domain. The simplest way, perhaps, is to estimate a sample of the desired signal at a time by applying a filtering vector to the observation signal vector. This approach is investigated in this chapter and many well-known optimal filtering vectors are derived. We start by explaining the single-channel signal model for noise reduction in the time domain.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Optimal Time-Domain Noise Reduction FiltersSingle-Channel Noise Reduction with a Filtering Vector

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Publisher
Springer Berlin Heidelberg
Copyright
© Jacob Benesty 2011
ISBN
978-3-642-19600-3
Pages
3 –21
DOI
10.1007/978-3-642-19601-0_2
Publisher site
See Chapter on Publisher Site

Abstract

[There are different ways to perform noise reduction in the time domain. The simplest way, perhaps, is to estimate a sample of the desired signal at a time by applying a filtering vector to the observation signal vector. This approach is investigated in this chapter and many well-known optimal filtering vectors are derived. We start by explaining the single-channel signal model for noise reduction in the time domain.]

Published: Apr 16, 2011

Keywords: Noise Reduction; Wiener Filter; Optimal Filter; Speech Enhancement; Voice Activity Detector

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