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A novel block wise convex combination algorithm with adjusting blocks is proposed for block-sparse system identification. The proposed algorithm unifies the complementary advantages of different block-induced algorithms, which are based on block proportionate matrix and block zero attracting penalty. A mixing parameter for block wise combination is designed as a block diagonal matrix. The mixing parameter...
The conventional convex combination schemes with two proportionate filters have high computational burdens due to the two proportionate filters running at the same time. Meanwhile, they also have poor convergence behavior at the intersection of the large step size filter and the small step size filter. To overcome these drawbacks, this paper proposes a family of combined-step-size (CSS) proportionate...
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