GZIPyashuowenjian

Huffman 编码是第一个实用的无损压缩编码技术，经过了多年的不断改进，已经形成了系统的理论和方法。目前主要有两种类型的Huffman编码方式，即静态Huffman编码和动态Huffman编码。Huffman编码有着广泛的应用，但是不再是压缩算法的全部，而是被当作最终的编码方法。(Huffman coding is the first practical lossless compression coding technology, after years of continuous improvement, has formed a system of theories and methods. There are currently two types of Huffman encoding, namely, static and dynamic Huffman coding Huffman coding. Huffman coding has been widely used, but the compression algorithm is no longer all, but rather be treated as the final coding.)

这是一个自己写的关于fft变换的快速源程序，可以达到很高的性能。(This is an fft transform himself wrote about the rapid source, you can achieve high performance.)

读图转灰度3 bit量化，模拟游程编码解码过程(Gray Level 3 Bit Quantization for Run-length Coding and Decoding)

说明：  该程序包含两部迭代收缩阈值算法在几个方面的应用，包括图像，1范数和2范数的核心算法。(The program includes two parts of iterative shrinkage threshold algorithm in several aspects, including image, 1 norm and 2 norm core algorithm.)

动态规划中图形算法中的最短路径算法 用类做的，分几个函数(The short road of dymta i don t know what is this program means，it is a c++ program ！numeric recipes in C++ )

说明：  对测试图像分块、DCT和量化，将量化后的系数写成矩阵形式。(The test image block, DCT and quantization, the quantized coefficients written in matrix form.)

ansys 分析 圆环的受力:一个的圆环,受一对过直径的集中 应力, 作用下发生1mm的压缩量（如图所示）。已知材料的弹性模量E＝2.0GPa，泊松比为0.3。用平面应力单元PLANE82分析圆环内部的应力分布情况(ansys analysis by the Circle : A Circle and the one across the diameter of the concentrated stress, occurred under 1 mm compression volume (as shown). Known material elastic modulus E = 2.0GPa, Poisson's ratio of 0.3. Plane stress analysis modules PLANE82 Circle internal distribution of the stress)

说明：  运用压缩感知的原理对图片进行处理 并通过正交匹配追踪法进行图像的重构(compressed sensing for colour image and the reconstruction by OMP)

pqmagic pro script,PQMagic 脚本说明.(pqmagic pro script!!!!!!!!!!!)

对图像进行斑点噪声的添加，用方程f=f+n*f将乘性噪音添加到图像f上，其中n是均值为零，方差为var的均匀分布的随机噪声。(Image speckle noise addition, the equation f = f+ N* f will be added to the multiplicative noise on the image f, in which n is zero mean, variance var of the uniform distribution for the random noise.)