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Titlebook: Signal Enhancement with Variable Span Linear Filters; Jacob Benesty,Mads G. Christensen,Jesper R. Jensen Book 2016 The Editor(s) (if appli

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书目名称Signal Enhancement with Variable Span Linear Filters
编辑Jacob Benesty,Mads G. Christensen,Jesper R. Jensen
视频videohttp://file.papertrans.cn/868/867053/867053.mp4
概述Presents the novel concept of variable span.speech enhancement filters.Shows various ways in which the concept can be.used to achieve noise reduction.Includes Matlab code so that all of the mainideas
丛书名称Springer Topics in Signal Processing
图书封面Titlebook: Signal Enhancement with Variable Span Linear Filters; Jacob Benesty,Mads G. Christensen,Jesper R. Jensen Book 2016 The Editor(s) (if appli
描述This book introduces readers to the novelconcept of variable span speech enhancement filters, and demonstrates how itcan be used for effective noise reduction in various ways. Further, the bookprovides the accompanying Matlab code, allowing readers to easily implement themain ideas discussed. Variable span filters combine the ideas of optimal linearfilters with those of subspace methods, as they involve the jointdiagonalization of the correlation matrices of the desired signal and thenoise. The book shows how some well-known filter designs, e.g. the minimumdistortion, maximum signal-to-noise ratio, Wiener, and tradeoff filters (includingtheir new generalizations) can be obtained using the variable span filterframework. It then illustrates how the variable span filters can be applied invarious contexts, namely in single-channel STFT-based enhancement, inmultichannel enhancement in both the time and STFT domains, and, lastly, intime-domain binaural enhancement. In these contexts, the properties of thesefilters are analyzed in terms of their noise reduction capabilities and desiredsignal distortion, and the analyses are validated and further explored insimulations.. .
出版日期Book 2016
关键词Noise Reduction; Optimal Linear Filter; Sensor Arrays; Signal Enhancement; Speech Enhancement; Variable S
版次1
doihttps://doi.org/10.1007/978-981-287-739-0
isbn_softcover978-981-13-5709-1
isbn_ebook978-981-287-739-0Series ISSN 1866-2609 Series E-ISSN 1866-2617
issn_series 1866-2609
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Single-Channel Signal Enhancement in the STFT Domain,pproaches, we do not assume here that successive STFT frames are uncorrelated. As a consequence, the interframe correlation is now taken into account and a filter is used in each subband instead of just a gain to enhance the noisy signal. We show how to apply some of the concepts of variable span (V
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Multichannel Signal Enhancement in the STFT Domain,r noise reduction in the STFT domain. In this chapter, we exploit the spatial information available from signals picked up by a determined number of microphones at different positions in the acoustics space in order to mitigate the noise effect. The processing is performed in the STFT domain.
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Springer Topics in Signal Processinghttp://image.papertrans.cn/s/image/867053.jpg
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978-981-13-5709-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Signal Enhancement with Variable Span Linear Filters978-981-287-739-0Series ISSN 1866-2609 Series E-ISSN 1866-2617
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Introduction,The present book is concerned with a classical problem in signal processing, namely signal enhancement. The problem can be defined as follows: given an observed, noisy signal find, somehow, an estimate of the desired signal.
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General Concept with Filtering Vectors,In this chapter, we explain the principle of variable span (VS) linear filters and show how it can be applied to the signal enhancement problem. Then, we derive a large class of optimal filters with a great deal of flexibility in the sense that they can naturally compromise between noise reduction and desired signal distortion.
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