Title :
Improved convergence performance of RSER algorithms with modified gradient filtering
Author :
Murali, T. M. ; Rao, B. Venugopal
Author_Institution :
Indian Institute of Technology, Advanced Centre for Research in Electronics, Bombay, India
Abstract :
A modified gradient filtering technique is applied to a class of recursive sequential regression (RSER) algorithms, in order to improve the convergence performance. The performance behaviour of the new class of algorithms is studied using both all-pole and pole-zero examples.
Keywords :
filtering and prediction theory; poles and zeros; signal processing; all pole examples; convergence performance; modified gradient filtering; pole-zero examples; recursive sequential regression algorithms; signal processing;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19840716
