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Missouri University of Science and Technology
Adaptive filters<br />Sparse matrices -- Data processing<br />System identification<br />Echo suppression (Telecommunication) -- Computer simulation
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Adaptive Filters For Sparse System Identification, Jianming Liu
Adaptive Filters For Sparse System Identification, Jianming Liu
Doctoral Dissertations
"Sparse system identification has attracted much attention in the field of adaptive algorithms, and the adaptive filters for sparse system identification are studied. Firstly, a new family of proportionate normalized least mean square (PNLMS) adaptive algorithms that improve the performance of identifying block-sparse systems is proposed. The main proposed algorithm, called block-sparse PNLMS (BS-PNLMS), is based on the optimization of a mixed ℓ2,1 norm of the adaptive filter's coefficients. A block-sparse improved PNLMS (BS-IPNLMS) is also derived for both sparse and dispersive impulse responses. Meanwhile, the proposed block-sparse proportionate idea has been extended to both the proportionate affine projection …