Normalised least‐mean‐square algorithm for adaptive filtering of impulsive measurement noises and noisy inputs
Author:
Affiliation:
1. Department of Electrical EngineeringPohang University of Science and TechnologyPohangGyungBukRepublic of Korea
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2013.2482
Reference6 articles.
1. Least mean M‐estimate algorithms for robust adaptive filtering in impulsive noise;Zou Y.;IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process.,2000
2. New Sequential Partial-Update Least Mean M-Estimate Algorithms for Robust Adaptive System Identification in Impulsive Noise
3. On error‐saturation nonlinearities in NLMS adaptation;Bershad N.J.;IEEE Trans. Signal Process.,2009
4. LMS‐based algorithm for unbiased FIR filtering with noisy measurements;So H.C.;Electron. Lett.,2001
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