Noise reduction based on wavelet transform under non-stationary environments
Qiang Qiao, Zhou Jiliu, Kun He, Jian Li · 2006
This paper addresses the problem of noise reduction under stationary and non-stationary environments, which based on the wavelet transform. This algorithm can overcome the deficiency of the conventional algorithms of noise reduction, which were only efficient for stationary environments and have large level of signal residual noise. The algorithm is based on the different amplitude value change of signal and noise and their distributing character in the wavelet domain, by this way we can find the site and the value of the noise in the wavelet domain. Experiments confirm that the noise reduction by proposed algorithm is effective to reduce the noise under stationary and non-stationary environments.