GVF

非负矩阵分解技术（Nonnegtive Matrix Factorization 一种信号或图像的特征提取的方法，也可用于图像压缩 (Non-negative Matrix Factorization technique (Nonnegtive Matrix Factorization a signal or image feature extraction methods can also be used for image compression)

说明：  这个压缩包里只要给出了边缘保持系数和等效视数的计算方法(This compression is given as long as the edge of the bag to maintain the equivalent depending on the number of coefficients and the calculation of)

阴影消除matlab代码，运行可用，可供参考(The shadow eliminates the matlab code, which is available for reference)

基于HDevelop的形状匹配算法参数的优化研究(The shape matching algorithm based on HDevelop Parameter Optimization)

实现直角坐标系至极坐标系下的图形图像变换。本方法为最新的快速变换方法，可应用于相位相关下的带旋转平移、缩放等变换。(the method can transform pic to radan.it can be used by PC to get the roation.)

高斯有色噪声，有色噪声的谱估计及其在雷达中的应用(gauss noise)

说明：  用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogonal tracking reconstruction algorithm)

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

根据paper思想，自己编写的SPIHT编解码。可以处理不同图像大小的小波系数，严格按照paper中的算法编写。细节见说明文档(under the paper thinking, their preparation SPIHT codec. Image can handle different sizes of the wavelet coefficients and strictly according to the paper prepared algorithm. For details, see the documentation)

能针对二值图像进行曲线的提取. 对于背景不太复杂的图像，效果可以。 只针对单像素(extract curve from binary image only for single pixel line.)