NDLI: Parallel structure for sparse impulse response using moving window integration

Content Provider	IET Digital Library
Author	Wen, Hao xiang Hong, Yuan quan Zhou, Yong ming Yang, Sen quan
Abstract	A novel scheme is proposed to locate the dispersive region, whose location is essential for parallel echo cancellation. In the scheme, a first filter adapts to a subsampled version of the input signal to roughly identify the impulse response. After each adaptation, a squaring function and a moving window integration procedure are performed on the first filter, and the region with the maximum integration value is considered to be the dispersive region. Finally, a second short filter is used to precisely identify the active coefficients belonging to the located dispersive region to implement the actual echo cancellation. Simulation results suggest that the parallel structure improves its convergence speed 3 times and its computation can be reduced by 3/8 compared with the traditional NLMS algorithm by decreasing the filter length. Due to the more accurate estimate of the location, the misalignment noise of the proposed algorithm is at least 10 dB lower than that of the conventional dispersive region locating algorithm. Moreover, the proposed algorithm based on the parallel structure outperforms other sparse adaptive algorithms in all aspects.
Starting Page	104
Ending Page	114
Page Count	11
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 1, Feb (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0041
Journal	IET Signal Processing
Publisher Date	2016-08-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Coefficient Identification Convergence of Numerical Method Convergence Speed Improvement Decrease Filter Length Dispersive Region Echo Suppression Electromagnetic Compatibility Filtering Method in Signal Processing Filtering Theory Integration Interference Maximum Integration Value Misalignment Noise Moving Window Integration Procedure Numerical Integration And Differentiation Parallel Echo Cancellation Parallel Structure Signal Sampling Sparse Impulse Response Squaring Function Transient Response
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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