Title :
Conjugate gradient algorithm for block FIR adaptive filtering
Author :
Lim, J.S. ; Un, C.K.
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
fDate :
3/4/1993 12:00:00 AM
Abstract :
A fast block adaptive filter based on the conjugate gradient method is presented. The block conjugate gradient algorithm (BCGA) is derived by minimising the block mean-square error (BMSE) and generating the conjugate gradient vectors. Compared with the optimum block algorithm (OBA), this new algorithm has superior convergence properties under any input conditions.
Keywords :
adaptive filters; conjugate gradient methods; convergence of numerical methods; digital filters; block FIR adaptive filtering; block conjugate gradient algorithm; block mean-square error; conjugate gradient method; convergence properties;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19930286
