Localization-Error

本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序(This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program)

a matlab code about computing mimo system s capacity

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

UVM例子，自己写的平台，需要的同学可以参照进行修改，也可以对应UVM1.1源码分析书籍查看(UVM demo made by myself，anyone want to learn UVM can use it as a refrence doc)

matlab的信噪比处理代码，大家可以使用。(Signal to Noise Ratio)

说明：  使用了L形邻域进行纹理生成，是很初步的程序，用于灰度图像，而且还未考虑边界的情况，仅供参考(Use the L-shaped neighborhood texture generation, is a preliminary program for gray image, not to consider the boundary conditions for reference only)

This file consists the torque vs speed characteristics of induction motor

K-MEANS 算法matlab版本 注释详尽(K-MEANS algorithm matlab detailed release notes)

说明：  此模型中的撬棍不是使用IGBT或理想开关制造的。 通过 改变转子侧变流器的参考电压来模拟撬棍电路的切入和切出 。 该模型是使用MATLAB R2010a创建的。 控制策略是最常见的去耦 算法和MPPT(The crowbar in this model is not manufactured using IGBTs or ideal switches. by The reference voltage of the rotor-side converter is changed to simulate the cut-in and cut-out of the crowbar circuit. The model was created using MATLAB R2010a. Control strategy is the most common decoupling Algorithm and MPPT)

流形学习 matlab开发的图形界面 集成了八个算法和十几个例子(Manifold learning matlab integrated graphical interface developed eight algorithms and more than a dozen examples)