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.