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Published in:
Introduction to Speech Processing Read chapter Read first chapter

2008 | OriginalPaper | Chapter

6. Wiener and Adaptive Filters

Authors : Jacob Benesty, Prof., Yiteng (Arden) Huang, Dr., Jingdong Chen, Dr.

Published in: Springer Handbook of Speech Processing

Publisher: Springer Berlin Heidelberg

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Abstract

The Wiener filter, named after its inventor, has been an extremely useful tool since its invention in the early 1930s. This optimal filter is not only popular in different aspects of speech processing but also in many other applications. This chapter presents the most fundamental results of the Wiener theory with an emphasis on the Wiener-Hopf equations, which are not convenient to solve in practice. An alternative approach to solving these equations directly is the use of an adaptive filter, which is why this work also describes the most classical adaptive algorithms that are able to converge, in a reasonable amount of time, to the optimal Wiener filter.

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previous chapter Speech Quality Assessment
next chapter Linear Prediction
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Metadata
Title
Wiener and Adaptive Filters
Authors
Jacob Benesty, Prof.
Yiteng (Arden) Huang, Dr.
Jingdong Chen, Dr.
Copyright Year
2008
Publisher
Springer Berlin Heidelberg
Book
Springer Handbook of Speech Processing

Print ISBN: 978-3-540-49125-5

Electronic ISBN: 978-3-540-49127-9

Copyright Year: 2008

DOI
https://doi.org/10.1007/978-3-540-49127-9_6