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哈夫曼编码(Huffman Coding)，又称霍夫曼编码，是一种编码方式，哈夫曼编码是可变字长编码(VLC)的一种。Huffman于1952年提出一种编码方法，该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，一般就叫做Huffman编码(有时也称为霍夫曼编码)。(Huffman encoding (Huffman Coding), also called Huffman Coding, is a way of Coding, Huffman Coding is variable word length Coding (VLC). Huffman in 1952 put forward a kind of coding method, this method is completely based on the characters of the occurrence probability to construct the average length of the shortest code word, sometimes called the best coding, generally is called Huffman coding (sometimes referred to as the Huffman coding).)

基于wavelet和bandelet的spiht图像压缩！(And wavelet-based image compression spiht the bandelet!)

压缩感知的几种算法算法,帮助更深入了解压缩感知算法(Compressed Sensing)

SOMP算法，该算法主要是应用在压缩传感中的信号恢复算法。(Compressed Sensing)

JPEG2000压缩图像质量评价代码，不需要原参考图像，很准确(the image quality assessment method, without the reference image. )

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Script Unpack Frimware Echolink Open Vu 9

SVD algorithm implementation in Matlab

一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。(Series show the source code for image compression technology. Include: use of block truncation coding for image compression (Block Truncation), Gaussian pyramid transform based image compression (Gaussian Pyramids), based on the discrete cosine transform image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) image compression (Singular Value Decomposition). The code given 2D image can also be used for noise cancellation.)

 用霍夫曼编码实现的简单的文本压缩解压缩C++源程序