matlabyichuan

c标准库 参考手册 包括最有用的类和函数(Standard Library Reference)

ex9_14 雷达的恒虚警处理（CFAR）。在雷达的数据中有很多的杂波，会造成虚警。所以我们必须进行处理，这里我们采用了慢门处理和快门处理，并且对处理后的结果进行比较(ex9_14 radar CFAR processing (CFAR). The radar data have a lot of clutter, this will result in false alarms. Therefore, we must deal with, here we have adopted a slow shutter door handle and deal with, and after the results were compared)

contour operator for image processing and computer vision

TDOA_AOA无线定位代码及卡尔曼滤波算法(TDOA_AOA wireless location code)

matlab中的函数大全………………如何实用有例子(matlab function in the Guinness ... ... ... ... ... ... how to have practical examples of)

从初值出发，先计算y对时间t的导数，得到y的变化速度；求出x对t的导数，得到x随时间的变化速度。然后时间前进一小步h=0.002，同时x和y也都发生一个小的变化，即在原来数值基础上加上时间步长h和变化速度的乘积。如果x到达1或者-1，强制让y发生变化。这个过程不断迭代，得到结果。 (completed chart)

二维圆形随机骨料生成，算法采用matlab随机数生成。(Generation of two dimensional circular random aggregate.The algorithm uses random number generation function.)

Simulated Annealing for solving TSP

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)

matlab代码，用来实现adaboost算法的代码，具体的该算法的实现还需要进行一些细节的修改，确保程序的正确运行。(matlab achieve adaboost funtion)