Title :
One-dimensional block adaptive IIR filters
Author_Institution :
Sch. of Eng. & Eng. Technol., Fairleigh Dickinson Univ., Teaneck, NJ, USA
Abstract :
We present the block implementation of adaptive infinite impulse response filters based on least-mean-square algorithm and output-error formulation. This approach leads to a reduction in overall computational complexity and to a fast implementation involving parallel processors or serial processors and fast Fourier transform techniques. Computer simulations are also provided to demonstrate the practical applications of the proposed adaptive filters
Keywords :
IIR filters; adaptive filters; computational complexity; digital filters; fast Fourier transforms; filtering theory; least mean squares methods; FFT; LMS algorithm; block adaptive IIR filters; computational complexity; computer simulations; fast Fourier transform techniques; fast implementation; infinite impulse response filters; least-mean-square algorithm; one-dimensional IIR filters; output-error formulation; parallel processors; serial processors; Adaptive filters; Computational complexity; Computer simulation; Convergence; Equations; Fast Fourier transforms; Finite impulse response filter; IIR filters; Least squares approximation; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.587873
