Aiming at the disadvantages of traditional soft and hard threshold methods for wavelet threshold denoising, the new developed extracting threshold denoising method is proposed.
针对小波阈值去噪方法中传统软硬阈值法各自存在的缺点，提出了开方法阈值去噪法。
However, it is hard to get the threshold for the estimation method.
不过，所提估计方法存在门限很难确定的问题。
This paper introduces the application of wavelet transformation in speech signal denoising, describes in detail the method of soft threshold and hard threshold and points out their disadvantages.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
The method of threshold in deleting noise has two kinds of ways. One of them is hard one and the other is soft. The main idea is based on the processing method of the wavelet coefficients.
小波阈值去噪分为硬阈值去噪和软阈值去噪，它们的去噪思想都是在小波分解后的各层系数中，对模大于和小于某个阈值的系数分别进行处理。
The result verifies that the new method possesses both merits of hard and soft threshold methods, offers better denoising effect and higher signal to noise ratio.
结果证明，新方法兼顾了软硬阈值法的优点，去噪效果更好，信噪比更高。
The result verifies that the new method possesses both merits of hard and soft threshold methods, offers better denoising effect and higher signal to noise ratio.
结果证明，新方法兼顾了软硬阈值法的优点，去噪效果更好，信噪比更高。
应用推荐