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Possible solution of parallel FIR filter structure
Author(s) -
Predrag B. Petrović
Publication year - 2005
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee0501021p
Subject(s) - adaptive filter , recursive least squares filter , finite impulse response , algorithm , mathematics , inversion (geology) , filter (signal processing) , computer science , control theory (sociology) , artificial intelligence , paleontology , control (management) , structural basin , computer vision , biology
In this paper, a parallel form FIR adaptive filter structure with RLS (Recursive Least Squares) type adaptive algorithm is proposed. The proposed parallel form FIR structure consists of a recursive orthogonal transform stage and sparse FIR sub filters operating in parallel. The adaptive algorithm used to update coefficient vector of the sparse filters is implemented by using modified Hopfield networks. This structure implements the RLS-type adaptive algorithm, without an explicit matrix inversion avoiding numerical instability problems. Simulation results which show the desirable features of proposed structure are given

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