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对小波变换阈值去噪原理进了介绍,对小波阈值去噪方法中几种阈值函数进行了分析比较,针对这几种阈值函数存在的缺陷,这里将均值法与阈值去噪方法集合到一起,提出一种基于均值的小波阈值去噪方法。该方法滤波之后得到的小波系数不仅连续性好,准确率高,易于重构,且重构后的去噪效果比一般的阈值法去噪效果好。仿真结果表明,其去噪效果相对于一般的阈值去噪法有明显的改进。
The principle of wavelet transform threshold denoising is introduced, and some threshold functions in wavelet threshold denoising method are analyzed and compared. Aiming at the shortcomings of these threshold functions, mean value method and threshold denoising method are combined here, A mean-based wavelet threshold denoising method is proposed. The wavelet coefficient obtained after filtering by the method is not only good in continuity, high in accuracy, easy to reconstruct, and the denoising effect after reconstruction is better than the normal threshold method. Simulation results show that the denoising effect is obviously improved compared with the general threshold denoising method.