MatlabSimulationsforradarsystems

FIR 及 IIR低通滤波器的设计以及 正弦信号滤波前后的频谱分析 （不同窗函数截断）(FIR and IIR filter design and low-pass filter before and after sinusoidal signal spectrum analysis (different window function truncated))

Blahut-Arimoto algorithm in Matlab 用Blahut-Arimoto算法计算BEC/BSC信道容量 通信/信息论基础(Blahut-Arimoto algorithm in Matlab)

采用Fox-Li数值迭代法，对三种激光器腔镜类型下，激光从初始状态到稳定分布的这一过程进行了MATLAB建模仿真。分析了激光器结构参数的变化对光场稳定所需的迭代次数的影响。(Using Fox-Li numerical iterative method, the three types of laser mirrors, the laser from the initial state to the stable distribution of this process modeling and simulation of MATLAB. Analysis of changes in the structural parameters of the laser light field the number of iterations required to stabilize the impact.)

采用加权网络中节点强度和权重都是幂率分布的模型，双向PCS控制仿真，能量熵的计算，重要参数的提取，基于人工神经网络的常用数字信号调制，应用小区域方差对比，程序简单。( Using weighted model nodes in the network strength and weight are power law distribution, Two-way PCS control simulation, Energy entropy calculation, Extract important parameters, The commonly used digital signal modulation based on artificial neural network, Application of small area variance comparison, simple procedures.)

The model of hybrid systems (combinations of continuous and discrete systems) is given in the file mixedm.m. Considered S-function simulates a system consisting of series-connected integrator (1 / s) and the delay unit (1 / z).

An application-specific protocol architecture for wireless microsensor networks leach

采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

说明：  正弦波，方波，三角波三种波形的FM、PM调制解调(Modulation and Demodulation of Three Waveforms: Sine Wave, Square Wave and Triangular Wave)

Fuzzy c-means (FCM) with spatial constraints has been considered as an effective algorithm for image segmentation. Student’s t-distribution has come to be regarded as an alternative to Gaussian distribution, as it is heavily tailed and more robust for outliers. In this letter,

说明：  计算不同采样率的两个地震道的互相关函数，两个地震道的采样是不一样的。(Different sampling rates of the two seismic cross-correlation function)