FOChS

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

使用GS理论简单实现相位重建的算法，图片包含在内(Simple Phase Reconstruction Using GS Theory)

m.file match algorithm for image processing applications

说明：  遗传算法解决TSP问题,能够运行,文件包含多个.M文件，打开主程序既可运行(Genetic algorithm to solve the TSP problem to be able to run)

说明：  pso优化SVM参数，可运行。MATLAB实现(PSO optimizes SVM parameters, which can be run. MATLAB implementation)

如果你有一个三维校准对象，你可以应付一个单一的形象。为了获得令人满意的校正结果，对象应包括整个图像以及可能的。此外，多张图片的支持。那么， 图像应捕获不同的观点改变了相机 方向和距离。如果在一个平面标定目标单一 形象是不够的和一套图像是需要解决所有 摄像机的参数。的坐标平面控制点应 被选中，这样的Z坐标成为为零。三维坐标股 毫米和图像坐标单位是像素。校准坐标 系统是用右手。原产地的图像坐标系中 左上角， X轴是正确的和Y轴向下。(If you have a three-dimensional calibration object, you can cope with a single image. Calibration In order to obtain satisfactory results, the target should include the entire image, as well as possible. In addition, the support of many pictures. Then, the image should capture different points of view camera has changed the direction and distance. If a planar calibration target at a single image is not enough and a set of images are necessary to solve all the camera parameters. The coordinates of horizontal control points should be selected, such as Z coordinates become zero. Unit-mm three-dimensional coordinates and image coordinates are pixel units. Calibration are right-handed coordinate system. Origin of the image coordinate system in the upper left corner, X-axis and Y are correct under axial.)

连续与离散信号系统的Matlab仿真示例代码．(Continuous and Discrete Signal System Simulation Matlab sample code.)

说明：  matlab的SVM工具包安装说明，并给出具体事例(The SVM matlab toolkit installation instructions, and give specific examples)

OFDM系统的基础代码集。都是基础程序，希望对大家有用(OFDM system code base set. Are based procedures in the hope that it may be useful to)

Algorithme Pivo and PivoGauss in resolution of polynomial equation