Title :
Frequency domain least-mean-square algorithm
Author :
Narayan, Subhashini Sathya
Abstract :
Frequency domain adaptive filtering can be performed by Fourier transforming the input-signal vector and weighting the contents of each frequency bin. By reducing the eigenvalue spread of the data autocorrelation matrix, frequency domain filtering promises great improvements in covergence rate over the conventional time-domain adaptive filtering.
Keywords :
Adaptive filters; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Filtering; Frequency domain analysis; Least squares approximation; Noise cancellation; Nonlinear filters; Radar;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1981.11928
