On identifying Volterra transfer functions of cubically nonlinear systems using minimally sampled data

被引：0

作者：

Tseng, CH

机构：

来源：

PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS | 1997年

关键词：

D O I：

10.1109/HOST.1997.613504

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A practical method for identifying cubically nonlinear systems is presented in this paper. This method identifies the system by using the higher-order spectra of the system input and output. Compared to the conventional method, which requires the system output to be sampled at sis times the bandwidth of the input, the proposed method only requires the system output to be sampled at twice the bandwidth of the system input. This greatly reduces the required computation and processing speed of the circuits. The advantage of the proposed method over the conventional one is demonstrated via computer simulation.

引用

页码：142 / 146

页数：5

共 50 条

[1] A novel method for identifying cubically nonlinear systems using minimally bandpass sampled data
Tseng, CH
2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 4, PROCEEDINGS, 2004, : 661 - 664
[2] Identification of cubically nonlinear systems using undersampled data
Tseng, CH
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1997, 144 (05): : 267 - 277
[3] Identification of cubically nonlinear systems using undersampled data
Natl Taiwan Ocean Univ, Keelung, Taiwan
IEE Proc Vision Image Signal Proc, 5 (267-277):
[4] Transfer functions of sampled-data systems in the lifted domain
Mirkin, Leonid
2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8, 2005, : 5180 - 5185
[5] Estimation of generalized frequency response functions for quadratically and cubically nonlinear systems
Li, L. M.
Billings, S. A.
JOURNAL OF SOUND AND VIBRATION, 2011, 330 (03) : 461 - 470
[6] METHOD FOR GENERATION OF SENSITIVITY FUNCTIONS FOR NONLINEAR SAMPLED-DATA SYSTEMS
SURYANAR.KL
SOUDACK, AC
ELECTRONICS LETTERS, 1970, 6 (19) : 610 - &
[7] Nonlinear and sampled data control systems analysis using spreadsheets
Kabalan, KY
ElHajj, A
Smari, W
IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY, 1996, 143 (01) : 52 - 56
[8] On the convergence of sampled data nonlinear systems
Astuti, P
Corless, M
Williamson, D
DIFFERENTIAL EQUATIONS: THEORY, NUMERICS AND APPLICATIONS, 1997, : 201 - 210
[9] Modeling Nonlinear Stochastic Filter by Volterra Transfer Functions
Kharchenko, O., I
ENGINEERING LETTERS, 2020, 28 (02) : 262 - 267
[10] Modeling nonlinear stochastic filter by volterra transfer functions
Kharchenko, O.I.
Engineering Letters, 2020, 28 (02): : 262 - 267

← 1 2 3 4 5 →