fftransform

importannt orogram for frft

一元线性回归和二元线性回归的matlab实例编程 包括有多元线性回归模型(Linear regression and binary linear regression matlab programming examples include multiple linear regression model)

capon波束形成及功率谱估计,一个目标信号加两个干扰(capon beamforming and power spectrum estimation, a target signal interference plus two)

Tutorial for beginner in matlab

matlab动画，很有用的，希望能对初学者有所帮助，欢迎下载(matlab animation, very useful, hoping to help beginners, are welcome to download)

matlab在化学工程中的应用实例程序,对大家研究学习有指导作用。(practice of matlab in chemistry and chemistry engnierr)

基于matlab的边缘检测，方法种类很多，如，sobel,canny,prewitt等等(Edge detection methods,such as,soble,canny,prewitt,and so on.)

In a series of papers in recent years new structures for coherent M-PSK (M-ary Phase Shift Keying) receivers were suggested. These include structures for carrier phase detectors for the carrier PLL (Phase Lock Loop), carrier PLL lock detectors, symbol timing error detectors, symbol synchronization PLL lock detectors, carrier and symbol PLL loop filters, and SNR (Signal to Noise Ratio) estimators

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).)

本书介绍的MATLAB在各个方面的应用，介绍的内容有简单到详细，是一本非常不错的书籍(MATLAB introduction of this book in all aspects of the application of the contents of a simple introduction to the detailed, is a very good book)