ParitySpaceFDI

Image treatment file:image filters and beginners commands

经典的Kay写得数字信号处理的matlab代码，很有意义，分享(Designed for practicing electrical engineers, researchers, and advanced students, this text is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. For a full book description and ordering details please refer to http://www.mathworks.com/support/books/book1505.jsp )

区块截断编码对图像进行压缩处理，为提高压缩率采用自适应的方式对小区块进行划分(Block truncation coding for image compression, in order to improve the compression ratio using adaptive way to divide the cell block)

economic load dispatch power system

该代码是用MATLAB写的。实现了JPEG压缩与解压缩的基本过程。适合图像方向的初学者学习使用。 MATLAB语言开发(The code is written in MATLAB. Achieve a JPEG compression and decompression of the basic process. Suitable for beginners to learn to use the image orientation. MATLAB language development)

This program simulates the minimization of a simple function with the simple coordinate search method.(Simple coordinate search algorithm)

聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，聚类分析，(Cluster analysis)

拉丁超立方采样包括还有约束和没有约束的两种。(Latin hypercube sampling includes both constrained and unconstrained sampling.)

说明：  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.)

用lanczos求特征值的matlab程序(with lanczos eigenvalues for the Matlab procedures)