Exponential Myriad Smoothing Algorithm for Robust Signal Processing in $$\alpha $$ α -Stable Noise Environments-Reference-Cited by-同舟云学术

Exponential Myriad Smoothing Algorithm for Robust Signal Processing in $$\alpha $$ α -Stable Noise Environments

Published:2017-02-23 Issue:11 Volume:36 Page:4468-4481
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Goh Benny Ming Kai^ORCID,Lim Heng Siong,Tan Alan Wee Chiat

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/article/10.1007/s00034-017-0523-8/fulltext.html

Reference17 articles.

1. G.R. Arce, Nonlinear Signal Processing : A Statistical Approach (Wiley, New Jersey, 2005)

2. P.J. Brockwell, R.A. Davis, Introduction to Time Series and Forecasting (Springer, Berlin, 2002)

3. S.C. Chan, Y. Zou, A recursive least M-estimate algorithm for robust adaptive filtering in impulsive noise: fast algorithm and convergence analysis. IEEE Trans. Signal Process. 52(4), 975–991 (2004)

4. B. Chen, L. Xing, Z. Wu, J. Liang, J.C. Principe, N. Zheng, Smoothed least mean p-power error criterion for adaptive filtering. Digit. Signal Process. 40, 900–903 (2014)

5. B.M. Goh, H.S. Lim, Sequential algorithms for sample myriad and weighted myriad filter. IEEE Trans. Signal Process. 60(11), 6047–6052 (2012)

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