Title :
Adaptive modular Laguerre non-linear model
Author :
Fejzo, Zoran ; Lev-Ari, Hanoch
Author_Institution :
Northeastern Univ., Boston, MA, USA
Abstract :
Presents an adaptive nonlinear estimation technique (polynomial model-based) that has guaranteed stability and makes parsimonious use of coefficients, thereby achieving optimal, or close to optimal, performance with reduced computational complexity when compared to the adaptive Volterra filters. Additionally the suggested structure exhibits a high degree of parallelism which makes it suitable for VSLI implementation
Keywords :
adaptive filters; adaptive signal processing; computational complexity; nonlinear filters; parallel architectures; parameter estimation; stochastic processes; VSLI implementation; adaptive modular Laguerre nonlinear model; adaptive nonlinear estimation technique; coefficients; computational complexity; parallelism; Adaptive filters; Adaptive signal processing; Computational complexity; Filter bank; Filtering; Low pass filters; Nonlinear filters; Polynomials; Stability; Statistics;
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.1994.379830
