Title :
A method to improve the performance of the LMS adaptive filter in processing signals of non-zero mean with sharp changes
Author :
Lin, Ji-Nan ; Unbehauen, R.
Author_Institution :
Lehrstuhl fuer Algemeine und Theor. Elektrotechnik, Erlangen-Nurnberg Univ., Germany
Abstract :
A method is proposed to improve the performance of the conventional least-mean-square (LMS) adaptive filter in processing signals of nonzero mean with abrupt changes. It is theoretically determined that, with the aid of a local-mean estimator (LME), the working condition and thus the performance of the adaptive filter can be improved. The implementation of the LME is discussed and a varying window average filter is introduced. The improved performance of the proposed method compared to the direct use of the conventional LMS has been demonstrated by computer simulations
Keywords :
adaptive filters; digital simulation; signal processing; LMS adaptive filter; abrupt changes; computer simulations; local-mean estimator; nonzero mean; performance; processing signals; sharp changes; varying window average filter; Adaptive filters; Application software; Autocorrelation; Computer simulation; Filtering algorithms; Impedance; Least squares approximation; Performance analysis; Resonance light scattering; Signal processing;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176396
