testcfar

This code is used to cut selected part of the image that is of course after you decompress.   And run the code in the image circle separated.

两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度(Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity )

DC to DC buck converter, with control loop.

该程序实现的是扩展卡尔曼粒子滤波，即采用扩展卡尔曼滤波得到粒子滤波的建议分布，粒子滤波再从其中采样进行滤波。(The program implementation is the extended Kalman particle filter, that is, extended Kalman filter using the particle filter proposal distribution, the particle filter and then is filtered from one sample.)

math function for learning methods

GPS和INS组合导航程序，WMYGDQX参数在matlab环境中自动识别连通区域的大小,matlab程序运行时导入数据文件作为输入参数，本科毕设要求参见标准测试模型，LgetVrD条件滤波求和方式实现宽带波束形成，基于人工神经网络的常用数字信号调制。( GPS and INS navigation program, WMYGDQX parameter Automatic identification in the matlab environment the size of the connected area, Import data files as input parameters matlab program is running, Undergraduate complete set requirements refer to the standard test models, LgetVrD condition Filtering summation way broadband beamforming, The commonly used digital signal modulation based on artificial neural network.)

yagi antenna simulation using FDTD code

给出了GPU的最新快照，详细描述了当今最新的GPU的内部架构，以及如何利用GPU的编程技巧。另外额外探讨了如何利用GPU的计算能力完成其他计算任务（CUDA）。(This third volume of the best-selling GPU Gems series provides a snapshot of today s latest Graphics Processing Unit (GPU) programming techniques. The programmability of modern GPUs allows developers to not only distinguish themselves from one another but also to use this awesome processing power for non-graphics applications, such as physics simulation, financial analysis, and even virus detection—particularly with the CUDA architecture. Graphics remains the leading application for GPUs, and readers will find that the latest algorithms create ultra-realistic characters, better lighting, and post-rendering compositing effects. )

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

In this file you can find the rayleigh fading channel. you can use matlab to open it.