Reduced complexity Volterra models for nonlinear system identification

Eurasip Journal on Applied Signal Processing

Volumn 2001, Issue 4, 2001, Pages 257-265

  Hacioǧlu, Rifat ^a   Williamson, Geoffrey A ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

Nonlinear system identification; Orthonormal basis functions; Volterra model structure

Indexed keywords

ADAPTIVE ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); ERROR ANALYSIS; NONLINEAR FILTERING; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SATELLITES; TRANSFER FUNCTIONS;

NONLINEAR SYSTEM IDENTIFICATION;

NONLINEAR SYSTEMS;

EID: 0035555512     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S1110865701000324     Document Type: Conference Paper

References (17)

1. Fading memory and the problem of approximating nonlinear operators with Volterra series
2. Volterra based identification of nonlinear systems using fixed pole approach
3. Global convergent adaptive IIR filters based on fixed pole locations
4. Identification of nonlinear biological systems using Laguerre expansions of kernels
5. Adaptive polynomial filters
6. Orthogonal approaches to time-series analysis and system identification
7. Adaptive parallel-cascade truncated Volterra filters
8. System identification using Laguerre models
9. System identification using Kautz models
10. Locally robust identification of linear systems containing unknown gain elements with application to adapted IIR lattice models
11. Some characteristics of error surfaces for insufficient order adaptive IIR filters
12. A fast recursive least squares adaptive second-order Volterra filter and its performance analysis
13. Nonlinear equalization of digital satellite channels
14. Frequency-independent and frequency-dependent nonlinear models of TWT amplifiers