Title :
Modified sequential regression algorithm
Author :
Mehranpour, M. ; Nourinia, J. ; Ghobadi, Ch
Author_Institution :
Dept. of Electr. Eng., Univ. of Urmia, Urmia, Iran
Abstract :
In this paper, we propose an algorithm with higher speed at the start and lower misadjustment near the optimum point. The proposed algorithm consists of a matrix that multiplies in sequential regression (SER) algorithm factor and uses a new variable step size that provides a faster convergence for searching weights and output error to optimum point. As a result, it behaves like variable step size LMS (VSLMS) algorithm in terms of convergence speed.
Keywords :
adaptive filters; convergence; filtering theory; matrix algebra; regression analysis; search problems; convergence; matrix; modified sequential regression algorithm; optimum point; output error; searching weights; variable step size; Misadjustment; adaptive filters; optimum point; sequential regression (SER); variable step size; variable step size LMS (VSLMS);
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8
