electromagnetic-method

用蚂蚁算法智能的解决大规模TSP问题，有大量测试用例，图形化的展示运行过程。(Intelligent use of ant algorithm to solve large-scale TSP problem, a large number of test cases, graphical display of running.)

LTE-A . AN OVERVIEW AND CHALLENGES

Toeolitz矩阵的相乘程序，实现Toeplitz矩阵的相乘操作(matlab program for toeplitz matrix multiplication)

关于图像处理中常用的一些功能的matlab源代码(Commonly used in image processing on some of the features of the matlab source code)

MUSIC谱估计程序，可以对信号进行频率估计，DOA估计，谱估计(MUSIC spectrum estimation procedure can be carried out on the signal frequency estimation, DOA estimation, spectrum estimation)

说明：  使用激光进行多摄像机的定标，用于Linux系统。 MATLAB算法。可以对标定视频里的激光点位置。(The use of laser multi-camera calibration, for Linux. MATLAB algorithm. Can calibrate the laser point position in the video.)

commande vectorielle d un moteur asynchrone sans capteur de vitesse

sourse code for cross validation

基于马尔可夫跳变的网络化控制系统倒立摆程序matlab仿真(Matlab simulation of inverted pendulum program of networked control system based on Markov jump)

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.)