Improved Threshold Denoising Method Based on Wavelet Transform

摘要：

Signals are easily polluted by noises in their transmission process and then they cant 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.

关键词： wavelet transform threshold deniosing SNR multi-resolution analysis

作者: CUI Huimin ZHAO Ruime HOU Yanli

作者单位: Institute of Information Science & Engineering Hebei University of Science and Technology Shijiazhuang, China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 181-184

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）