AWG

卡尔曼滤波matlab工具箱，还有demo(Kalman filter matlab toolbox with demo)

File is having matlab code for removing green pixel from image

power_VariableInductor.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_VariableInductor.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

fault detection without protection

分数阶傅里叶变换计算方面,可以提取一幅图中想要的目标，小波包分析提取振动信号中的特征频率。( Fractional Fourier transform computing, Target can be extracted in a picture you want, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  用matlab编的小程序，希望对大家有所帮助！(using Matlab series of small programs, we hope to help!)

说明：  正交信号校正，一种预处理算法，用来消除光谱中与浓度无关的信息，增强浓度与光谱的相关性(Orthogonal signal correction, a preprocessing algorithm, to eliminate the information in the spectrum unreleated with the target concentration, enhanceing the correlation between concentration and spectral )

msk的matlab调制与解调仿真，使用延时相干解调方式，包含差分编码与解码模块(modulation and demodulation of msk of Matlab simulation, delay Demodulation, including differential encoding and decoding modules)

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

matlab常见问题集,不错的资料哦,MATLAB初学者很有帮助(Frequently Asked Questions matlab, good information Oh, MATLAB helpful for beginners)