Title :
A New Fast Convergence Adaptive Algorithm
Author :
Palanisamy, P. ; Kalyanasundaram, N.
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Trichy
Abstract :
In this paper, a new fast convergence adaptive algorithm with variable step size is proposed for FIR adaptive filter. This new proposed algorithm is derived based on the quasi-Newton family. Simulation results are presented to compare the convergence of the proposed algorithm with least mean square (LMS) algorithm and RLS algorithm. It shows that the proposed new algorithm has comparable convergence speed to the other known adaptive algorithms
Keywords :
FIR filters; adaptive filters; convergence of numerical methods; FIR adaptive filter; LMS; RLS algorithm; convergence speed; fast convergence adaptive algorithm; least mean square algorithm; quasiNewton family; variable step size; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Convergence; Finite impulse response filter; Least squares approximation; Resonance light scattering; Signal processing algorithms; Stability; System identification; Adaptive Filter; Convergence; Mean-Squared Error; System identification;
Conference_Titel :
Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference on
Conference_Location :
Chennai
Print_ISBN :
1-4244-0997-7
Electronic_ISBN :
1-4244-0997-7
DOI :
10.1109/ICSCN.2007.350719
