Title :
Stability of the fast recursive least square algorithms with perfectly predictable signals
Author :
Arezki, M. ; Ykhlef, F. ; Guessoum, A. ; Meyrueis, P. ; Berkani, D.
Author_Institution :
Univ. of Blida, Blida
Abstract :
In this paper, we present a detailed study of the perfectly predictable signals in the case of pure sinusoids, in order to determine the cause of instability of the fast recursive least squares (FRLS) algorithms with speech signal. To avoid instability of the FRLS algorithm, an assigned choice of the sampling rate compared to the frequency of the sinusoid is proposed. Tests were carried out on pure sinusoids in the very long term without any tendency to divergence.
Keywords :
adaptive filters; least squares approximations; speech processing; FRLS algorithm; algorithms instability; predictable signals; pure sinusoids; recursive least square algorithms; sampling rate; speech signal; Adaptive filters; Filtering algorithms; Finite impulse response filter; Frequency; Laboratories; Least squares methods; Prediction algorithms; Sampling methods; Speech; Stability; FRLS Algorithm; Kalman gain; Numerical Stability; adaptive Filter; perfectly predictable signals;
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
DOI :
10.1109/ICIT.2006.372265
