RJMCMC-algorithm-in-matlab-program

Matlab图形图像处理函数命令Graphics and Image Processing Matlab function commands(Graphics and Image Processing Matlab function commands Graphics and Image Processing Matlab function commands)

wimax-mimo技术的仿真希望大家看看(wimax-mimo simulation technology)

探讨了在 MATLAB 环境中实现遗传算法仿真的方法 ,并以一个简单的求函数最值的问 题作为遗传算法的应用实例 ,说明遗传算法的全局寻优性及用 MATLAB 实现仿真的可行性(Explore the genetic algorithm simulation in MATLAB environment, and the value of a simple demand function as genetic algorithm application examples, description of the genetic algorithm global optimizing nature and the feasibility of using MATLAB simulation)

介绍bpsk调制的一个比较完整的系统，系统内有误码率的处理，时域和频域之间的转换(introduce bpsk modulation)

This function finds the forward kinematics of the RA-01 Robotic Arm made by Images SI, Inc. The RA-01 has five degrees of freedom. This funciton outputs two vectors. The first vector is the forward kinematics of the central position of the end effector, while the second vector is the forward kinematics of a finger of the end effector (a gripper). Note that it does not matter which finger it is as the position of one finger is simply the negative of the other hence, the value gotten for the y-direction is actually "plus or minus y".

顺序函数法求解一维非稳态导热反问题的源代码(Sequential function method for solving one-dimensional unsteady heat conduction inverse problem of the source code)

单相全桥逆变器模型 ,simulink仿真，matlab，电力电子基础(Single-phase full-bridge inverter model, simulink simulation, matlab, power electronics-based)

说明：  D算法MATLAB实现,Dijkatra为主要算法，main函数举例实现(use matlab to make out D)

power_switching_power_supply.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_switching_power_supply.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

说明：  the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical methods for system identification used to find the transfer function for the model. The equations given by [15]: Y=φβ+ξ (7) β=〖(φ^T φ)〗^(-1) φ^T Y (8) where Y is the predicted output. φ is includes actual input and output parameters. β is includes parameters to be estimated.