Title :
The non-canonical LMS algorithm (NCLMS): characteristics and analysis
Author :
Gan, W.S. ; Soraghan, J.J. ; Stewart, R.W. ; Durrani, T.S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Abstract :
The authors present analysis and simulations of an LMS (least mean square) based adaptive filtering algorithm called the NCLMS (non-canonical LMS). Rather than using the standard FIR (finite impulse response) filter as for the LMS algorithm, a modified structure called the NCFIR (non-canonical FIR) is used. The NCFIR allows a faster VLSI implementation than the conventional FIR. A comparison of the performances of the NCLMS and conventional LMS algorithm is presented for an inverse system modeling application. Simulation results are given which show a reduced EMSE (excess mean square error) level and an improved performance in an impulsive noise environment for the NCLMS over the LMS algorithm
Keywords :
adaptive filters; digital filters; filtering and prediction theory; least squares approximations; LMS algorithm; VLSI; adaptive filtering algorithm; excess mean square error; finite impulse response; impulsive noise environment; inverse system modeling; least mean square; noncanonical FIR filter; noncanonical LMS algorithm; simulations; Adaptive filters; Algorithm design and analysis; Analytical models; Filtering algorithms; Finite impulse response filter; Least squares approximation; Mean square error methods; Modeling; Noise reduction; Very large scale integration;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150835
