Development of two-input adaptive noise canceller for wideband and narrowband noise signals

Development of two-input adaptive noise canceller for wideband and narrowband noise signals In this paper, the development of the single-stage two-input adaptive noise canceller that proposed by Widrow et al. is investigated. It is shown that the use of multi-stage cancellers instead of a single stage improves the performance of the conventional two-input adaptive noise canceller in a real life high-noise environment. In such environment, the background noise may contain both the wideband and narrowband (sinusoidal) noise components. In this contribution, the wideband noise and sinusoidal noise signals can be significantly suppressed using a new multi-stage adaptive noise cancellation scheme based on adaptive line enhancer (ALE) and Least Mean Square (LMS) filter. The proposed scheme is comprised of two stages. The first stage uses ALE filters, which are used to cancel the sinusoidal noise from the primary and reference input signals, whereas the wideband noise is cancelled using LMS adaptive filter in the second stage. The good performance of the proposed scheme has been verified via real-time implementation on the Texas Instruments TMS320C6713DSK. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Speech Technology Springer Journals

Development of two-input adaptive noise canceller for wideband and narrowband noise signals

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Signal,Image and Speech Processing; Social Sciences, general; Artificial Intelligence (incl. Robotics)
ISSN
1381-2416
eISSN
1572-8110
D.O.I.
10.1007/s10772-017-9443-z
Publisher site
See Article on Publisher Site

Abstract

In this paper, the development of the single-stage two-input adaptive noise canceller that proposed by Widrow et al. is investigated. It is shown that the use of multi-stage cancellers instead of a single stage improves the performance of the conventional two-input adaptive noise canceller in a real life high-noise environment. In such environment, the background noise may contain both the wideband and narrowband (sinusoidal) noise components. In this contribution, the wideband noise and sinusoidal noise signals can be significantly suppressed using a new multi-stage adaptive noise cancellation scheme based on adaptive line enhancer (ALE) and Least Mean Square (LMS) filter. The proposed scheme is comprised of two stages. The first stage uses ALE filters, which are used to cancel the sinusoidal noise from the primary and reference input signals, whereas the wideband noise is cancelled using LMS adaptive filter in the second stage. The good performance of the proposed scheme has been verified via real-time implementation on the Texas Instruments TMS320C6713DSK.

Journal

International Journal of Speech TechnologySpringer Journals

Published: Jul 27, 2017

References

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