Name
Title | ||
|---|---|---|
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models. |
Abstract | ||
|---|---|---|
A blind identification method for non-linear Wiener models is investigated. When the input signal of the system does not adopt a Gaussian random signal, the identification process with the input signal is changed into the one without input signal by using the first-order statistical properties of the cyclostationary input signal and the inverse mapping of the non-linear part of the model initially... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-spr.2017.0384 | IET Signal Processing |
Keywords | Field | DocType |
higher order statistics,inverse problems,parameter estimation,regression analysis,signal processing,stochastic processes,support vector machines | Inverse,Nonlinear system,Control theory,Support vector machine,Svm regression,Algorithm,Cumulant,Gaussian,Estimation theory,Cyclostationary process,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 6 | 1751-9675 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoping Xu | 1 | 0 | 0.68 |
| Feng Wang | 2 | 8 | 1.93 |
| Fucai Qian | 3 | 42 | 9.27 |