An Adaptive Filter Model Based on Wavelet Transform
Wang Jianhui, Qian Xiao, Jiang Yan, Guan Shou-ping, Shusheng Gu · 2009
Due to the fact that it is not easy to filter out the overlap noise between noisy signal and noise using the traditional method of wavelet denoising, an adaptive filter model based on the wavelet transform is constructed. In this model, the adaptive filter is used to filter out noise secondary on the basis of first wavelet denoising on the original noisy signal. The experimental results show that the model can effectively remove the noise. And comparing with the original method of wavelet denosing, the SNR of the signal which uses the model to filter out noise is much higher, reaching a better filtering effect.