Title :
Multiplication-free adaptive filters
Author :
Cho, SeongHwan ; Mathews, V. John
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
Convergence analyses of two adaptive filter structures that require no multiplications for their implementation are presented. Under the assumption that primary and reference inputs to the adaptive filters are zero mean, wide-sense stationary, and Gaussian random processes, expressions are derived for the mean and mean-squared behavior of the filter weight vector using a variety of simplifying assumptions. Results of some computer simulation experiments are presented
Keywords :
digital filters; filtering and prediction theory; adaptive filters; computer simulation experiments; convergence analysis; digital filters; filter weight vector; mean characteristics; mean-squared behavior; multiplication-free filters; Adaptive filters; Convergence; Covariance matrix; Equations; Gaussian processes; Least squares approximation; Quantization; Signal analysis; Signal processing; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196910
