An Improved Denoising Method Based on Stationary Wavelet Transform

Abstract. It is quite difficult to analyze experimental signals since they have low Signal-to-Noise Ratio (SNR). Discrete Stationary Wavelet Transform (SWT) can be used for signal denoising because of its energy concentration and shift invariance feature. this paper focuses on the noise reduction algorithms based on SWT and proposed a new threshold function for better denoising effect. The method is experimentally evaluated and simulated. The result shows that the proposed method is an effective tool for signal denoising.