Title :
Design of linear phase FIR filters using the LMS algorithm
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
fDate :
4/1/1993 12:00:00 AM
Abstract :
The application of the stochastic gradient (least mean square) algorithm, the design of linear phase finite impulse response (FIR) filters, is discussed. Analytical results are presented and supported by simulation experiments to demonstrate the superior performance of the LMS algorithm equipped with the linear phase constraint as compared to the standard LMS algorithm
Keywords :
digital filters; least squares approximations; LMS algorithm; least mean square; linear phase FIR filters; linear phase constraint; simulation experiments; stochastic gradient algorithm; Algorithm design and analysis; Analytical models; Finite impulse response filter; Least squares approximation; Nonlinear filters; Performance analysis; Signal design; Signal processing algorithms; Stochastic processes; Vectors;
Journal_Title :
Signal Processing, IEEE Transactions on
