What is it about?
An efficiennt adaptive algorithm for time-varying sparse system is proposed in this paper.
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Why is it important?
The new algorithm can achieve a faster convergence rate and a lower misalignment than existing similar type algorithms.
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This page is a summary of: l 0-norm penalised shrinkage linear and widely linear LMS algorithms for sparse system identification, IET Signal Processing, February 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-spr.2015.0218.
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