Title :
Variable length stochastic gradient algorithm
Author :
Pritzker, Zeev ; Feuer, Arie
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
4/1/1991 12:00:00 AM
Abstract :
The transversal variable-length stochastic gradient algorithm is described. It is a modification of the stochastic gradient algorithm that allows dynamic allocation of coefficients of an adaptive filter. The order of the filter and the adaptation step size are changed automatically when an appropriate level of performance is reached during the course of the adaptation process. In this way, the algorithm results in fast convergence, typical of low-order filters, and good steady-state performance, typical of high-order filters
Keywords :
adaptive filters; digital filters; adaptation step size; adaptive filter; coefficients; convergence; dynamic allocation; filter order; high-order filters; low-order filters; steady-state performance; stochastic gradient algorithm; transversal variable length algorithm; Algebra; Approximation algorithms; Convergence; Equations; Filters; Least squares approximation; Signal processing algorithms; Steady-state; Stochastic processes; Video recording;
Journal_Title :
Signal Processing, IEEE Transactions on