Title :
Adaptive filtering algorithms and alpha stable signals
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
We consider the problem of optimal FIR linear and regression filters for jointly stationary symmetric alpha stable processes with index alpha greater than one. We then consider the signed-error and sign-sign adaptive filtering algorithms and provide various convergence results for the signal and tap weights estimation errors
Keywords :
FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; nonlinear filters; FIR linear filters; adaptive filtering algorithms; alpha stable signals; convergence results; regression filters; sign-sign algorithm; signed-error algorithm; stationary symmetric alpha stable processes; tap weights estimation errors; Adaptive filters; Convergence; Filtering algorithms; Finite impulse response filter; Gaussian processes; Maximum likelihood detection; Nonlinear filters; Random variables; Signal processing algorithms; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861844
