Title :
Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm
Author :
Perez-Gonzallez, F. ; Abdallah, C.
Author_Institution :
ETSI Telecomunicacion, Vigo Univ.
Abstract :
In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms
Keywords :
FIR filters; IIR filters; adaptive filters; convergence of numerical methods; filtering theory; network synthesis; statistical analysis; FIR filter; adaptive IIR filtering; convergence; filter design; finite impulse response filter; pseudolinear regression IIR adaptive algorithm; strictly positive realness condition; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Delay estimation; Equations; Filtering; Finite impulse response filter; IIR filters; Uncertainty;
Conference_Titel :
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location :
Yosemite National Park, CA
Print_ISBN :
0-7803-1948-6
DOI :
10.1109/DSP.1994.379883
