Title :
RLS algorithm for a new subband adaptive structure with critical sampling
Author :
Alves, R.G. ; Petraglia, M.R. ; Apolinário, J.A., Jr. ; Diniz, P.S.R.
Author_Institution :
COPPE, Univ. Federal de Rio de Janeiro, Brazil
Abstract :
In a recent publication new family of adaptive structures with critical sampling of the subband signals, which yields exact modeling of FIR systems, was obtained. In this paper an algorithm based on the recursive least-squares (RLS) algorithm is derived for the updating of the adaptive coefficients of this new subband structure. An efficient implementation of the resulting structure is discussed, leading to computational complexity savings. Computer simulations illustrate the convergence behavior of the proposed algorithm
Keywords :
adaptive signal processing; computational complexity; convergence of numerical methods; least squares approximations; recursive estimation; signal sampling; FIR systems; RLS algorithm; adaptive coefficients; computational complexity; convergence behavior; critical sampling; recursive least-squares algorithm; subband adaptive structure; subband signals; Adaptive filters; Computational complexity; Computer simulation; Convergence; Filter bank; Finite impulse response filter; Resonance light scattering; Sampling methods; Sparse matrices; Transfer functions;
Conference_Titel :
Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International
Conference_Location :
Sao Paulo
Print_ISBN :
0-7803-5030-8
DOI :
10.1109/ITS.1998.718434
