Signal Enhancement with Variable Span Linear Filters / Springer Topics in Signal Processing Bd.7 (PDF)
(Sprache: Englisch)
This book introduces readers to the novel
concept of variable span speech enhancement filters, and demonstrates how it
can be used for effective noise reduction in various ways. Further, the book
provides the accompanying Matlab code, allowing readers to...
concept of variable span speech enhancement filters, and demonstrates how it
can be used for effective noise reduction in various ways. Further, the book
provides the accompanying Matlab code, allowing readers to...
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This book introduces readers to the novel
concept of variable span speech enhancement filters, and demonstrates how it
can be used for effective noise reduction in various ways. Further, the book
provides the accompanying Matlab code, allowing readers to easily implement the
main ideas discussed. Variable span filters combine the ideas of optimal linear
filters with those of subspace methods, as they involve the joint
diagonalization of the correlation matrices of the desired signal and the
noise. The book shows how some well-known filter designs, e.g. the minimum
distortion, maximum signal-to-noise ratio, Wiener, and tradeoff filters (including
their new generalizations) can be obtained using the variable span filter
framework. It then illustrates how the variable span filters can be applied in
various contexts, namely in single-channel STFT-based enhancement, in
multichannel enhancement in both the time and STFT domains, and, lastly, in
time-domain binaural enhancement. In these contexts, the properties of these
filters are analyzed in terms of their noise reduction capabilities and desired
signal distortion, and the analyses are validated and further explored in
simulations.
concept of variable span speech enhancement filters, and demonstrates how it
can be used for effective noise reduction in various ways. Further, the book
provides the accompanying Matlab code, allowing readers to easily implement the
main ideas discussed. Variable span filters combine the ideas of optimal linear
filters with those of subspace methods, as they involve the joint
diagonalization of the correlation matrices of the desired signal and the
noise. The book shows how some well-known filter designs, e.g. the minimum
distortion, maximum signal-to-noise ratio, Wiener, and tradeoff filters (including
their new generalizations) can be obtained using the variable span filter
framework. It then illustrates how the variable span filters can be applied in
various contexts, namely in single-channel STFT-based enhancement, in
multichannel enhancement in both the time and STFT domains, and, lastly, in
time-domain binaural enhancement. In these contexts, the properties of these
filters are analyzed in terms of their noise reduction capabilities and desired
signal distortion, and the analyses are validated and further explored in
simulations.
Bibliographische Angaben
- Autoren: Jacob Benesty , Mads G. Christensen , Jesper R. Jensen
- 2016, 1st ed. 2016, 172 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9812877398
- ISBN-13: 9789812877390
- Erscheinungsdatum: 05.02.2016
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 2.52 MB
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Sprache:
Englisch
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