Name
Title | ||
|---|---|---|
Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems |
Abstract | ||
|---|---|---|
This paper proposes a very fast method for blindly approximating a nonlinear mapping which transforms a sum of random variables. The estimation is surprisingly good even when the basic assumption is not satisfied. We use the method for providing a good initialization for inverting post-nonlinear mixtures and Wiener systems. Experiments show that speed of the algorithm is strongly improved and the asymptotic performance is preserved with a very low extra computational cost. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.sigpro.2004.11.030 | Signal Processing |
Keywords | Field | DocType |
wiener systems,pnl mixture,nonlinear ica,fast method,good initialization,wiener system,low extra computational cost,fast approximation,basic assumption,inversion algorithm,nonlinear mapping,asymptotic performance,random variable,post-nonlinear mixture,nonlinear source separation,satisfiability | Signal processing,Random variable,Nonlinear system,Algorithm,Estimation theory,Initialization,Sum of normally distributed random variables,Asymptotic analysis,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
85 | 9 | Signal Processing |
Citations | PageRank | References |
8 | 0.57 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Solé-Casals | 1 | 11 | 2.57 |
| Christian Jutten | 2 | 450 | 39.98 |
| Dinh-Tuan Pham | 3 | 12 | 1.17 |