LP2

this demo on neural network creation

分数阶傅里叶变换资料,非常有用的信号处理变换工具(Document of chirp Flouier，which is very useful for signal processing and transformation.)

雷达交叉定位精度分析，CRB界确定，寻求最远定位距离！(Radar cross positioning accuracy analysis, CRB sector determined to seek the farthest distance positioning!)

说明：  有序统计恒虚警检测器（OS-CFAR），适用于复杂环境下的运动目标检测。 包含经典的OS-CFAR，以及OSGO-CFAR和OSSO-CFAR。(detector based on the ordered statistic constant false alarm rate (OS-CFAR) technique)

MELCEPST Calculate the mel cepstrum of a signal

利用球贝塞尔函数和汉克尔函数计算低频、中频、高频的雷达散射截面。(The calculation of the radar cross section of low frequency, intermediate frequency, high frequency by using the spherical Bessel function and Hankel function.)

阵列信号处理的MUSIC算法：经典MUSIC源程序，求根MUSIC算法源程序，波束空间MUSIC算法源程序，基于解相干的MUSIC源程序，基于四阶累积量的MUSIC算法。(MUSIC algorithm array signal processing: classical MUSIC source, Roots MUSIC algorithm source, beam-space MUSIC algorithm source code, source code based on decoherence of MUSIC, fourth-order cumulant based MUSIC algorithm.)

遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。(Genetic Algorithm is an adaptive global by nature, genetic and biological survival of the fittest evolutionary process simulation and abstract, and thus the formation of stochastic optimization search method. Just provide genetic algorithm optimization objective function as an information, which is generated from a random initial population of departure, after genetic manipulation, such as selection, crossover and mutation of individuals fitness evaluation, retained a strong individual genetic fitness to child on behalf of the population, after several iterations of computing the optimal solution to get the optimal individual, that is the problem. This program uses a genetic algorithm to solve the optimal operation of the micro-network.)

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This m-file implements the mixture of Gaussians algorithm for background subtraction.