ImageCompress(QRfenjie)

说明：  用单片机来直接驱动步进电机很精确走小步子.(Using single-chip to directly drive stepper motor is very accurate take small steps.)

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

说明：  GPS C/A码捕获 用的是fft频域的搜索 有C/A码产生和C/A码数字化子程序，模拟卫星信号的捕获算法和过程，未考虑多普勒频移(GPS C/A code acquisition in frequency domain using the fft search with C/A code generation and C/A code number of subroutines, analog satellite signal acquisition method and process, without considering the Doppler shift)

霍夫曼编解码matlab程序，包含熵的计算。(Hoffman codec Matlab procedures, including the calculation of entropy.)

用C++的模板类实现的霍夫曼树及其编码过程，可视地展示霍夫曼树的结构。(Huffman tree and its encoding process to achieve C++ template class, visual display of the structure of the Huffman tree.)

双树复小波变换具有平移不变性、方向选择性等特点，适合进行图像压缩，优于传统离散小波变换方法。(The DT-CWT is suitable to image compression processing because of its shift invariance and directional selectivity. It is preferable to traditional Discrete Wavelet Transform(DWT). )

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)

HUFF_SC.ZIP => HUFFMAN Source code.ZIP

win8压缩解压源码程序，结合易语言多线程支持库，调用API函数实现WIN8系统的压缩解压。(win8 source compression decompression procedures , combined with easy language support for multithreading library , call the API functions WIN8 system of compression and decompression .)

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.)