This paper proposed a speech enhancement algorithm based on wavelet threshold denoising.
提出了一种基于小波阈值去噪的语音增强算法。
参考来源 - 基于改进阈值函数小波语音增强方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
Finally, wavelet threshold de-noising method was used to analyze the experimental signal of the two systems. The results showed this method can make some de-noising effect.
最后，运用小波阈值去噪法对两个系统的实验信号进行了分析，结果表明该方法对提高信噪比，抑制噪声具有一定的作用。
The experimental results showed that compared with other common wavelet threshold desnoising methods, the presented method can improve the visual effect and increase SNR of the denoised image.
实验结果表明，与普通小波阈值去噪方法相比，该算法能获得较好的图像效果，提高信噪比。
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