kalman

该文件是用相位差校正技术来检测简谐波，其运行环境是在matlab中( FFT)

MATLAB中SIMULINK仿真建模的课件PPT(MATLAB Modeling and Simulation in SIMULINK courseware PPT)

本程序是关于K变化的LMS算法，可用于水声信道，有图(This program is the LMS algorithm, on the change in K can be used for underwater acoustic channel, Figure)

本书系统地介绍了生物医学数据分析的相关基础知识和主要的分析方法，并通过 MATLAB 对大量的 生物医学数据分析的实例进行实现。全书共分为 7 章：第 1 章绪论；第 2 章 MATLAB 应用基础；第 3 章 医用数学基础及其 MATLAB 实现；第 4 章多变量分析；第 5 章时间序列分析；第 6 章生物信息学基础； 第 7 章生物医学数据的检索方法。 (This book introduces the relevant basic knowledge and analysis of biomedical data analysis, and analysis of biomedical data through MATLAB instance implemented. The book is divided into seven chapters: Chapter 1 Introduction Chapter 2 based on MATLAB applications Chapter 3 Medical mathematical foundation and its MATLAB implementation Chapter 4 multivariate analysis Chapter 5, time series analysis Chapter 6 bioinformatics Chapter 7 of the foundation biomedical data retrieval methods.)

本代码是matlab程序，用于模拟带电粒子在电磁场中的相对论运动。利用Boris的差分格式求解相对论牛顿-洛伦兹方程。(This code treats with the problem that the motion of charged particle in electromagnitic field. The simulation method is solving the Relativity Newton-Lorentz equation. Boris has developed a computing method for this equation and we accept it in this code.)

decryption about the matlab files in the directory of matlab and simulink.

MATLAB中各代码、函数间的参数传值验证代码，有助于理解matlab中的传值概念(MATLAB, the code, the function returns the value of the parameters between the validation code helps to understand the concept of traditional values ​ ​ in matlab)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

matlab仿真实例，希望能给你一点帮助(matlab simulation example, I hope to give you a little help)

PALM PRINT DATABASE COLLECTION FROM EXTERNAL WEB CAMERA USING MATLAB.