subtraction-speech-denoising

说明：  用Java实现97提升小波变换，动态演示和可视化(Realizes 97 promotion wavelet transformation with Java, dynamic demonstration and visualization )

说明：  可以对图像实现拉东变换，包含了原始图像与程序，可以自行修改(Radon transform of image can be realized)

基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)

matlab程序，X-CT图像处理，用小波分解去除噪声(matlab program, X-CT image processing, noise removal by wavelet decomposition)

由仿真结果时域和频域图可以看出，工频50Hz干扰信号很好被滤除掉，说明所设计的自适应滤波器效果较好。(It can be seen by the domain and frequency domain simulation results in Figure, the frequency 50 Hz interference signals very well be eliminated, the design of the adaptive filter is better.)

四元数小波变换。对图像进行四元数小波域变换，并根据变换后得到的四个部分进行幅度相位分析。(Quaternion wavelet transform.Including image analysis via quaternion wavelet domain,such as one magnitude and three angles.)

用matlab编程实现了ridgelet多尺度变换，实现了图像的解析，重构，压缩等功能(Ridgelet with matlab programming a multi-scale transformation to achieve the image resolution, reconstruction, compression and other functions)

说明：  利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别(Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.)

《MATAB小波分析（第2版）》张德丰 书籍配套所有源代码("MATAB wavelet analysis (Second Edition)" - Zhang Defeng, books supporting all the source code)

说明：  实现对离散信号的连续小波变换进行时频域分析，判断信号的稳定性(The continuous wavelet transform of the signal is analyzed in time and frequency domain)