high-gain-microstrib-antenna

说明：  用于谐波恢复的ESPRIT方法的SVD-TLS的程序实现，并进行了信号的谐波的恢复仿真实验(For the ESPRIT harmonic retrieval method of SVD-TLS program and conducted the restoration of harmonic signals in simulation)

利用matlab编写，符合以下要求 1.鼠标点几点连成一个区域，填充颜色。 2.多次重叠交叉的区域填充(Use matlab write, meet the following requirements 1. Several mouse connected into an area filled with color. 2. Multiple overlapping cross the area fills)

说明：  数字信号处理 典型序列的Matlab实现和序列的卷积运算(Digital signal processing to achieve a typical sequence of Matlab Convolution and serial computing)

matlab百例.相信一定有你需要的.大家放心进来(Matlab 100 cases. I believe we have your needs. Come look at the rest assured)

先进PID控制极其Matlab仿真，很实用、很详细，附有具体程序案例，是不错的初学者教材。(Advanced PID control is extremely Matlab simulation, very practical, very detailed, with program-specific case is a good beginners textbook.)

基于matlab的模态分析1，可以进行采样数据的模态分析，获得振型，阻尼比，频率等(Based matlab die state analysis, modal analysis of the sampling data obtained modes, damping ratio, frequency, etc.)

MATLABSimulink通信系统建模与仿真实例精讲 源码程序(MATLABSimulink communication system modeling and simulation program source code examples succinctly)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

使用卡曼滤波器进行基于子空间的自适应多用户检测。经典文章，不容错过(Subspace-based blind adaptive multiuser detection using Kalman filter)

Hi this is matlab simulation