Title :
A noise reduction method for noisy contaminated chaotic signal
Author :
Feng, Jiu-chao ; Xie, Shengli
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper addresses the filtering of noisy chaotic signals. Combining a modelling technique for the signals with the unscented transform (UT), a new filtering algorithm is realized. It is indicated by computer simulation that this algorithm can effectively reduce noise on chaotic signals no matter how the parameters of the chaos generator vary with time. In comparison with the EKF-based method, this algorithm has a better filtering performance in the case of low signal to noise ratio (SNR), and has similar performance in the case of high SNR.
Keywords :
Kalman filters; chaos; signal denoising; state estimation; SNR; chaos generator; computer simulation; filtering; modelling; noise reduction; noisy contaminated chaotic signal; signal to noise ratio; unscented transform; Chaos; Chaotic communication; Filtering; Frequency; Noise generators; Noise reduction; Signal generators; Signal processing; Signal processing algorithms; Working environment noise;
Conference_Titel :
Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on
Print_ISBN :
0-7803-9015-6
DOI :
10.1109/ICCCAS.2005.1495317
