Improved Threshold Denoising Method Based on Wavelet Transform

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Signals are easily polluted by noises in their transmission process and then they can’t be received in the receiver correctly. So the polluted signals should be processed to reduce noises and improve the quality of received signals. After analyzing the theory of wavelet transform and the characteristics of traditional soft and hard wavelet threshold denoising methods, a modified threshold denoising method based on wavelet transform is adopted to improve the quality of a signal which has been polluted by noises. The method overcomes the discontinuous in hard threshold denoising method and reduces the permanent bias in soft threshold denoising method. At last soft threshold denoising, hard threshold denoising and modified threshold denoising are used to reduce noises in the same signal by simulation. The results show that the modified threshold denoising method is superior to the traditional soft and hard wavelet threshold denoising methods in improving SNR and decreasing RMSE.