GA-RosenBrock

香港大学沙威教授写的压缩感知版hello world(Compressed sensing version Hello world written by Professor Javert of University of Hong Kong)

香农编码的C++实现。原理说明以及源代码。(The Shannon coding C++. Principle of instructions and source code.)

按啊《信息论》这门课要求写的一个lzw样例代码，可用于对指定句子的lzw压缩与解压

基于两步迭代收缩法和复数小波的压缩传感 图像重构 ( Based on two-step iterative shrinkage method and the complex wavelet compression sensor Image reconstruction )

zip压缩源代码，附有整个工程，保证能用，可应用于文件压缩，内存压缩(zip compressed source code, with the whole project, and ensure that use, can be applied to file compression, memory compression)

说明：  此压缩文件里面包含面板数据熵值法的stata代码，每一步都有详细的解释，并且附有样本和数据，方便学者理解和掌握。(This compressed file contains the stat a code of panel data entropy method, each step has a detailed explanation, and is attached with samples and data, which is convenient for scholars to understand and master.)

压缩感知，对一维信号进行压缩感知，并还原信号。(Compressed sensing, the one-dimensional signal compressed sensing, and redox signaling)

PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，...... ZPAV (H265) 基本算法 ： 1，图象与声音分解与合成 ：小波 ； 2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ； 3，速率控制 ：小波子带熵速率控制 ； 4，量化与反量化 ：小波子带熵量化与反量化 ； 5，低频分量和高频分量的降维 ：小波子带邻域交叉降维 ； 6，运动矢量和量化表的分解与合成 ：广义小波 ； 7，位面编码 ：数学形态小波，多级树集合群，嵌入零树，位面降维 ； 8，位流编码 ：算术编码，熵编码 ； 9，运动估计 ：宏块最优决策，运动矢量预测 ； A，运动搜索 ：钻石，大钻石，小钻石，方形 ； B，图象与声音后处理 ：低通滤波，断点重构，宏块平滑 ； C，误码纠错 ：矢量仿真，帧间仿真 。 (The PAV (H265) is the audio and video compression and decompression protocol, is very different from H264/MPEG4 ZPAV (H265) algorithm is a wavelet, multi-level tree collection group, and generalized wavelets, mathematical morphology, wavelet, ... ZPAV (H265) algorithm: 1, image and sound decomposition and synthesis: wavelet 2, image and sound processing: wavelet sub-band zero-crossing noise, target texture processing, speech processing 3, the rate control: wavelet subband entropy rate control 4, quantization and inverse quantization: Wavelet subband entropy quantization and inverse quantization 5, the dimensionality reduction of the low frequency component and high frequency components: the wavelet subbands neighborhood cross-dimensionality reduction 6, the decomposition and synthesis of the motion vector and quantization tables: generalized wavelet 7, bit-plane coding: the mathematical form of wavelet multi-level tree collection group, embedded zerotree, bit plane)

说明：  实现bmp图像的压缩编码解压，包括哈弗曼编码解码 dct变换 量化(Realize the BMP image compression coding decompression)

说明：  一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。(A classic article on compressed sensing, compressive sensing (Compressed sensing, referred to as CS, also known as Compressive sampling) different from the modern theory of the Nyquist sampling theorem, which states: the use of a random measurement matrix can be sparse or compressible high-dimensional signal projected to low dimensional space, and then use a small amount of projection by solving an optimization problem to be sparse with high probability to reconstruct the original signal, and prove that random projection of the original sparse signal contains enough information.)