Title :
Adaptive filters employing partial updates
Author :
Douglas, Scott C.
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
fDate :
3/1/1997 12:00:00 AM
Abstract :
In some adaptive filtering applications, the least-mean-square (LBIS) algorithm may be too computationally- and memory-intensive to implement. In this paper, we analyze two adaptive algorithms that update only a portion of the coefficients of the adaptive filter per iteration. These algorithms use decimated versions of the error and regressor signals, respectively. Simulations verify the accuracy of the analyzes, and the robustness of the algorithms is also explored
Keywords :
adaptive filters; digital filters; filtering theory; adaptive algorithms; adaptive filter; coefficients updating; error signals; partial updates; regressor signals; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Analytical models; Echo cancellers; Finite impulse response filter; Iterative algorithms; Least squares approximation; Robustness; Signal processing algorithms;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
