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EXPLORING UNDERMODELING IN COMBINATIONS OF ADAPTIVE FILTERS

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Autor(es):
Aoyagi, Thiago Y. ; Ferreira, Alexandre C. ; Lopes, Cassio G. ; Nascimento, Vitor H. ; IEEE
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: 2021 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP); v. N/A, p. 5-pg., 2021-01-01.
Resumo

Although combinations of filters improve the performance of individual adaptive filters, they increase the computational cost by operating multiple simultaneous filters. In this paper, we propose the undermodeling of the fast filter in a combination to reduce complexity and also obtain improved performance. As an inadequate design of the undermodeled fast filter may affect the combination performance, we describe how the length and the step-size of this filter should be designed, based on analytical models of transient and steady-state performance. We present simulations that evidence the improvement achieved by using this method, also including nonstationary scenarios as well as the application of the proposed method for OFDM wireless communications. (AU)

Processo FAPESP: 18/12579-7 - Tecnologias habilitadores para a Internet das Coisas
Beneficiário:Vitor Heloiz Nascimento
Modalidade de apoio: Auxílio à Pesquisa - Temático