Identification-Algorithm

基于Matlab按转子磁链定向矢量控制系统的仿真.(Based on Matlab by the rotor-flux-oriented vector control system simulation.)

Gepp algorithm. Developed By dr Kucinski from Warsaw Univeristy of technology.

无线传感器网络协议仿真，可以看到每一轮所选出的簇头数目，基站收到的数据包总数，簇头收到的数据包总数，第一个节点死亡的时间，10 的节点死亡的时间等(Wireless sensor network protocol simulation, you can see every one of the selected number of cluster heads, the total number of packets received base station, cluster head total number of packets received, the first node of the time of death, 10 of the node dies time, etc.)

java调用matlab程序的一个applet。(java call matlab program for a applet.)

tsp using Genetic algorithm

svm核主成分分析，简单实用，毕业论文程序(svm kernel principal component analysis, simple and practical, graduation procedures)

用MATLAB实现绘制带通滤波器的损耗函数曲线(Using MATLAB drawing of the loss of band-pass filter function curve)

name : Simulation Tools for Wireless Sensor Networks E. Egea-López, J. Vales-Alonso, A. S. Martínez-Sala, P. Pavón-Mariñ o, J. García-Haro Department of Information Technologies and Communications Polytechnic University of Cartagena, Spain. Email: {esteban.egea, javier.vales, alejandros.martinez, pablo.pavon, joang.haro}@upct.es  Corresponding author. Address: Campus Muralla del Mar, 30202, Cartagena, Spain. phone: +34 968 325314, fax: +34 968 325973, e-mail: joang.haro@upct.es

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.)

A fuzzy based pitch angle control for variable speed wind turbines