This paper presents a novel approach for structure extraction of the cluster sparse system identification.

A cluster sparse IPNLMS is developed by developing a block sparse IPNLMS by the block ℓ0 by the analysis of block size choices of the cluster sparse ...

This paper presents a novel approach for structure extraction of the cluster sparse system identification. Different from adopting ℓ 1 -norm constraint to ...

A mixed norm constraint IPNLMS algorithm for sparse channel estimation. March 2022; Signal Image and Video Processing 16(2):1-8. DOI:10.1007/s11760-021-01975-6.

A mixed norm constraint IPNLMS algorithm for sparse channel estimation. Overview of attention for article published in Signal, Image and Video Processing ...

PDF | We propose an improved proportionate affine projection algorithm (PAPA), which is realized by integrating a hybrid-norm constraint into the affine.

Nov 30, 2018 · The proposed algorithm optimizes the hybrid l2,0-norm of the filter coefficients, and the PAPA is a special case of the proposed method.

This work deals with the block-sparse system identification problem on the basis of the maximum correntropy criterion (MCC).

The proposed algorithm is referred to as the proportionate affine projection maximum correntropy criterion (PAPMCC) algorithm, which is derived in the ...

Here, the LMF, proportionate scheme and mixed-norm constraint are used for constructing the proposed MNC-PNLMF algorithm. A variety of experimental experiments ...