Sparse RLS adaptive filter with diagonal loading

Autor(es)

Zakharov, Yuriy ; Nascimento, Vitor H. ; Matthews, MB

• Tipo de documento: Artigo Científico
• Fonte: 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR); v. N/A, p. 5-pg., 2012-01-01.

Resumo

In this paper, we propose an adaptive algorithm for sparse identification. The algorithm is based on diagonal loading, reweighting, and coordinate descent iterations. Simulation results show that the algorithm has performance close to the performance of the oracle RLS algorithm with perfect knowledge of the support and yet has as low complexity as O(N) operations per sample, where N is the filter length. (AU)

• Processo FAPESP: 12/50565-1 - Adaptive compressive sensing-aware techniques: desinf algorithms and applications
• Beneficiário: Vitor Heloiz Nascimento
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 11/06994-2 - Algoritmos de baixo custo computacional para processamento de sinais acústicos
• Beneficiário: Vitor Heloiz Nascimento
• Modalidade de apoio: Auxílio à Pesquisa - Regular