这是刚才代码的文章。英文的，希望对大家有用

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

H.264的codec开发源代码，视频编解码例子-H.264-codec developed source code, example of video codec

这是基于canny算子的边缘检测代码，基于vc环境，程序简洁-This is based on the canny edge detection operator code, vc-based environment, the procedures simple

一个很有用的有关于图像匹配的源码，与大家一同分享-a very useful on the source image matching, and to share with you

在图像处理中，图像融合算法，对初学者很有用！-In image processing, image fusion algorithm is useful for beginners!

基于混合高斯模型（GMM）的无监督聚类算法，希望对大家有帮助-Based on Gaussian mixture model (GMM) unsupervised clustering algorithm, I hope it would have help to you！

图像增强的C++源程序，效果非常好，彩图ok-Image enhancement of the C++ source code, the effect is very good, Wallpapers ok

这是K均值聚类算法 对图像颜色进行聚类 然后对图像分割源代码-This is the K-means clustering algorithm for image clustering and then color image segmentation source code

MFC实现多边形剪裁和填充-MFC polygon clipping and filling

方块编码程序 本程序采用了最简单的方块编码对512×512的lena图像进行了编码 运行程序后可以看出，方块取得越大，图像编码后失真越大。 -Box coding procedures used in this process the most simple box of 512 × 512 encoding the lena image after the encoding run the program we can see that the box to obtain the greater the greater the distortion image is encoded.