Research about Non-stationary Properties and De-noising of Chaos Signals
Chaotic signal is a non-stationary signal that has many peaks and mutations. Existence of noise influences seriously useful information to be extracted. De-noising is more necessary, especially when chaotic signals are polluted by noise. Fundamental wavelet is equal to a group of band-pass filter, different scale signals and different frequency signals are separated by different band channel. Wavelet analysis is local transformation of time and frequency, which can effectively extract information from the noise. This issue will be dealt with chaos signals. The wavelet transform was proposed to removal the noise from chaotic signals in order to detect chaotic signals.
non-stationary signal wavelet transform chaotic signal de-noising
Nie Chun-yan Wang zhu-wen Lv Yi-sheng Zhang Ting
Electronic Information Institute Changchun University Changchun, China, 130022 GeoExploration College of Science & Technology Jilin University Changchun, China, 130026 Telecommunications Institute Changchun University of Science and Technology Changchun, China, 130022
国际会议
长春
英文
77-80
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）