Title :
Unconstrained Hartley domain least mean square adaptive filter
Author :
Meher, P.K. ; Panda, G.
Author_Institution :
Dept. of Appl. Electron. & Instrum. Eng., Regional Eng. Coll., Rourkela, India
fDate :
9/1/1993 12:00:00 AM
Abstract :
An efficient adaptive filtering algorithm named as the unconstrained Hartley domain least mean square (UHLMS) algorithm has been proposed. It is found from computer simulation that the proposed algorithm has similar performance to the time domain least mean square (LMS) algorithm for uncorrelated signals; but yields faster and better convergence for highly correlated signals. The UHLMS algorithm has identical performance to that of the unconstrained frequency domain least mean square (UFLMS) algorithm, but requires significantly less computation
Keywords :
adaptive filters; computational complexity; convergence of numerical methods; least squares approximations; signal processing; UHLMS algorithm; adaptive filtering algorithm; computational complexity; computer simulation; convergence; highly correlated signals; unconstrained Hartley domain least mean square algorithm; uncorrelated signals; Adaptive algorithm; Adaptive filters; Convergence; Convolution; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Filtering algorithms; Frequency domain analysis; Frequency estimation; Least squares approximation;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
