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Comparative Study of Weiner-Hopf and LMS algorithm for Adaptive Noise Cancellation of Speech

Comparative Study of Weiner-Hopf and LMS algorithm for Adaptive Noise Cancellation of Speech
Comparative Study of Weiner-Hopf and LMS algorithm for Adaptive Noise Cancellation of Speech
The performance of Wiener-Hopf and Least Mean Square (Online and Batch) methods are considered for recovering the desired signal buried under noise using adaptive noise cancellation techniques. A reference signal and a desired signal are available. To combat the noisy environment an adaptive noise cancellation filter is developed. This filter tries to converge in least mean square sense to the optimal Wiener-Hopf solution to filter the noise from the signal. In the analysis part the weight and learning tracks are shown. Effects of leakage and effects of interchanging the primary and reference inputs to the adaptive filter are also discussed. In the end a comparison is drawn on intelligibility of the recovered signal from both the methods.
0379-4318
50-54
Shafik, Rishad Ahmed
aa0bdafc-b022-4cb2-a8ef-4bf8a03ba524
Islam, Abu Hena Mohammad Razibul
6113ec31-fb39-4180-ab92-5c6c0c771a96
Shafik, Rishad Ahmed
aa0bdafc-b022-4cb2-a8ef-4bf8a03ba524
Islam, Abu Hena Mohammad Razibul
6113ec31-fb39-4180-ab92-5c6c0c771a96

Shafik, Rishad Ahmed and Islam, Abu Hena Mohammad Razibul (2004) Comparative Study of Weiner-Hopf and LMS algorithm for Adaptive Noise Cancellation of Speech. IEB Journal of Electrical Engineering, 31 (1&2), 50-54.

Record type: Article

Abstract

The performance of Wiener-Hopf and Least Mean Square (Online and Batch) methods are considered for recovering the desired signal buried under noise using adaptive noise cancellation techniques. A reference signal and a desired signal are available. To combat the noisy environment an adaptive noise cancellation filter is developed. This filter tries to converge in least mean square sense to the optimal Wiener-Hopf solution to filter the noise from the signal. In the analysis part the weight and learning tracks are shown. Effects of leakage and effects of interchanging the primary and reference inputs to the adaptive filter are also discussed. In the end a comparison is drawn on intelligibility of the recovered signal from both the methods.

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Published date: December 2004
Organisations: Electronic & Software Systems

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Local EPrints ID: 263217
URI: https://eprints.soton.ac.uk/id/eprint/263217
ISSN: 0379-4318
PURE UUID: 3b72be88-465a-4f76-b588-bd6c94dd52c8

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Date deposited: 30 Nov 2006
Last modified: 18 Jul 2017 08:43

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