DocumentCode
2491335
Title
Adaptive modular Laguerre non-linear model
Author
Fejzo, Zoran ; Lev-Ari, Hanoch
Author_Institution
Northeastern Univ., Boston, MA, USA
fYear
1994
fDate
2-5 Oct 1994
Firstpage
249
Lastpage
252
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location
Yosemite National Park, CA
Print_ISBN
0-7803-1948-6
Type
conf
DOI
10.1109/DSP.1994.379830
Filename
379830
Link To Document