Title :
Delayed least-mean-square algorithm
Author :
Wang, T. ; Wang, C.-L.
Author_Institution :
Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fDate :
3/30/1995 12:00:00 AM
Abstract :
The conventional delayed least-mean-square (LMS) algorithm converges more slowly than the LMS algorithm due to the delay introduced in coefficient adaptation. The authors derive a new delayed LMS algorithm, which is a realisation of the orthogonality principle, by minimising the a posteriori squared error. Computer simulations show that it does not suffer from the introduced delay and has comparable convergence performance to the LMS algorithm
Keywords :
FIR filters; adaptive filters; adaptive signal processing; convergence; delays; filtering theory; least mean squares methods; adaptive FIR filtering; convergence performance; delayed LMS algorithm; least-mean-square algorithm; orthogonality principle;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19950396
