Name
Title | ||
|---|---|---|
An Unscented-Transform-Based Filtering Algorithm For Noisy Contaminated Chaotic Signals |
Abstract | ||
|---|---|---|
Combining the modelling technique for signal with the Unscented Transform (UT), a new filtering algorithm is realized. It indicates by computer simulation that this new algorithm can effectively reduce noise on chaotic signal no mater how parameter of chaos generator varies with time. In comparison with the EKF algorithm, this algorithm has a better filtering performance in the case of low signal to noise (SNR), and has the similar performance in the case of high SNR. In addition, an application in blind channel equalization is also found. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISCAS.2006.1693067 | 2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS |
Keywords | Field | DocType |
noise reduction,computer simulation,channel equalization,random variables,frequency,unscented transform | Noise reduction,Random variable,Computer science,Control theory,Signal-to-noise ratio,Algorithm,Filter (signal processing),Unscented transform,Electronic engineering,Ekf algorithm,Equalization,Chaotic | Conference |
ISSN | Citations | PageRank |
0271-4302 | 1 | 0.49 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiuchao Feng | 1 | 133 | 17.84 |
| Shengli Xie | 2 | 2530 | 161.51 |