Signal Enhancement with Variable Span Linear Filters
Seiten
2018
|
Softcover reprint of the original 1st ed. 2016
Springer Verlag, Singapore
9789811357091 (ISBN)
Springer Verlag, Singapore
9789811357091 (ISBN)
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.
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.
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.
Introduction.- General Concept with Filtering Vectors.- General Concept with Filtering Matrices.- Single-Channel Signal Enhancement in the STFT Domain.- Multichannel Signal Enhancement in the Time Domain.- Multichannel Signal Enhancement in the STFT Domain.- Binaural Signal Enhancement in the Time Domain.
| Erscheinungsdatum | 04.03.2022 |
|---|---|
| Reihe/Serie | Springer Topics in Signal Processing ; 7 |
| Zusatzinfo | 25 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | noise reduction • Optimal Linear Filter • Sensor Arrays • signal enhancement • Speech Enhancement • Variable Span Filter |
| ISBN-13 | 9789811357091 / 9789811357091 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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