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matlab/simulinkSfunctionCmatlab/simulinkSfunctionC文件例子源码文件例子源码(matlab/simulinkSfunctionCmatlab/simulinkSfunctionC paper documents examples of source code examples)

matlab画格点风向杆和风羽的函数，在气象绘图中使用较多而且方便(matlab draw grid wind direction and wind feather rod function more in the weather and easy to use drawing)

该代码为遗传算法matlab代码，其中代码都附有详细说明(The code for the genetic algorithm matlab code, which is accompanied by a detailed description of the code)

MFSK不同进制下，在不同采样率不同EB/NO时的误码率分析(MFSK under different band, different at different sampling rates EB/NO when the error rate analysis)

this test checks the value of Number.

西电DSP实验课作业，主要包括MATLAB程序和C语言编的DSP程序，完成脉压，MTI,MTD的仿真，matlab和DSP分别调用(Western Electric DSP experimental course work, including MATLAB and C language program of the DSP program code to complete the pulse pressure, MTI, MTD simulation, matlab and DSP are called)

Recursive least square in matlab

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))

Griewank测试函数，经过实验已经可以使用，现在分享给大家啊(Griewank test function, after the experiment has been can now share with you ah)

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)