An optimized adaptive filtering for speech noise cancellation
Other Title(s)
المرشحات التكيفية المثلى للإلغاء ضوضاء الكلام
Joint Authors
Haydar, Muhammad Qasim
Mahmud, Ahlam Fadil
Source
al-Rafidain Engineering Journal
Issue
Vol. 23, Issue 5 (31 Dec. 2015), pp.43-53, 11 p.
Publisher
University of Mosul College of Engineering
Publication Date
2015-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The main interest in adaptive filters continues to grow as they begin to find practical applications in areas such as channel equalization, echo cancellation, noise cancellation and many other adaptive signal-processing applications.
The work presented in this paper focuses on optimizing most popular adaptive filtering algorithms namely Least Mean Square (LMS) algorithm, Normalized Least Mean Square (NLMS) and Rec ursive least Squares (RLS) by using genetic optimizer approach.
The tap-length are updated with the three adaptive algorithms according to the value of mean square error based on genetic style.
The simulation results for noise cancellation in speech enhancement demonstrate the good performance of the proposed algorithm in attenuating the noise with less hardware resources complexity.
It is a nice tradeoff between hardware complexity, SNR ratio and the convergence speed.
American Psychological Association (APA)
Mahmud, Ahlam Fadil& Haydar, Muhammad Qasim. 2015. An optimized adaptive filtering for speech noise cancellation. al-Rafidain Engineering Journal،Vol. 23, no. 5, pp.43-53.
https://search.emarefa.net/detail/BIM-696738
Modern Language Association (MLA)
Mahmud, Ahlam Fadil& Haydar, Muhammad Qasim. An optimized adaptive filtering for speech noise cancellation. al-Rafidain Engineering Journal Vol. 23, no. 5 (Dec. 2015), pp.43-53.
https://search.emarefa.net/detail/BIM-696738
American Medical Association (AMA)
Mahmud, Ahlam Fadil& Haydar, Muhammad Qasim. An optimized adaptive filtering for speech noise cancellation. al-Rafidain Engineering Journal. 2015. Vol. 23, no. 5, pp.43-53.
https://search.emarefa.net/detail/BIM-696738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 52-53
Record ID
BIM-696738