论文部分内容阅读
小波变换是一种新的变换分析方法,它继承和发展了短时傅立叶变换局部化的思想,同时又克服了窗口大小不随频率变化等缺点,能够提供一个随频率改变的时间一频率窗口,是进行信号时频分析和处理的理想工具。通过对传统的线性滤波方法和非线性滤波方法的分析,以及对小波阈值去噪法传统阈值函数的研究,发现均存在一些缺点,因此通过对阈值函数采取改进措施来改善语音增强的效果,改进了仿真,很好的去除背景及环境中的噪音,减少语音信号的失真。
Wavelet transform is a new method of transform analysis. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a time-frequency window with frequency change and is The ideal tool for signal time-frequency analysis and processing. Through the analysis of the traditional linear filtering methods and nonlinear filtering methods, as well as the traditional threshold function of the wavelet threshold denoising method, it is found that there are some shortcomings. Therefore, by improving the threshold function to improve the effect of speech enhancement, improving Simulation, a good removal of the background and the noise in the environment, reducing the distortion of speech signals.