rayleidet

基于DWT和DCT的图象水印算法,过程简单,效果一般(DWT and DCT-based image watermarking algorithm, the process is simple, the effect of general)

快速可靠的GPS (全球定位系统)系统仿真可对双频GPS 接收机的设计、接收算法的研究 提供有效的帮助。文中详细介绍了在MatLab/Simulink 环境下GPS 系统仿真平台构建的基本方法。 首先分析了GPS 系统的各个环节，说明了各模型在仿真中的实现方法；然后给出了完整的系统仿 真框图，并在此平台上实现了GPS L2 载波相位跟踪的仿真。结果表明该仿真平台有效、可靠(Fast and reliable GPS (Global Positioning System) system simulation of dual-frequency GPS receiver design, receiver algorithm to provide effective help. Text in detail in the MatLab/Simulink environment GPS system simulation platform to build the basic method. First, we analyze the various segments of GPS systems shows that the model in the realization of simulation methods and then given a complete system simulation block diagram, and on this platform realize the GPS L2 carrier phase tracking of the simulation. The results show that the simulation platform for effective, reliable)

永磁同步电机矢量控制.mdl文件 0.04s突减负载，双闭环电流、转速反馈(pmsm concle system at 0.04s down the T, then look at the scope)

前推回代法的辐射状配电网潮流程序 matlab编写蚁群算法实践 粒子群工具箱PSOt 基于遗传算法配电网无功优化方法程序源代码 求解机组组合问题的多种群混沌蚁群算法(Before the backward substitution method for radial distribution power flow program Matlab to write practical particle swarm ant colony algorithm toolbox PSOt Reactive Power Optimization Based on Genetic Algorithm method of program source code to solve the unit commitment problem Multigroup Chaotic Ant Colony Algorithm)

演示在给定初始位置和速度（含大小和方向）下verlet三粒子体系的二维演化运动情况(Demonstration verlet at a given initial position and velocity (including magnitude and direction) under the three-dimensional evolution of the particle system movement)

用MATLAB自带的工具箱实现svm的多分类问题，代码有注释。(MATLAB comes with the toolbox to achieve svm multi-classification problem, the code has comments.)

一个改进的bp算法，很经典，很实用,希望大家喜欢！(An improved algorithm for bp, very classic, very useful, I hope everyone likes!)

说明：  随机信号的提取，通过matlab实现微弱信号的提取(Random signal extraction, through matlab to achieve the extraction of weak signal)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

-Calculates a rectangle s field. -Lockes a pc :D -Mixes a string then calculates the sum -Finds the max number