DocumentCode
547907
Title
Modified sequential regression algorithm
Author
Mehranpour, M. ; Nourinia, J. ; Ghobadi, Ch
Author_Institution
Dept. of Electr. Eng., Univ. of Urmia, Urmia, Iran
fYear
2011
fDate
17-19 May 2011
Firstpage
1
Lastpage
1
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);
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location
Tehran
Print_ISBN
978-1-4577-0730-8
Type
conf
Filename
5955797
Link To Document