Particle_filter_SIR_demo1

kohonen application algoritm

MATLAB编写的遗传算法，采用二进制编码，有说明文档(Genetic algorithm written in MATLAB, using binary code, there is documentation)

该源程序代码实现了如：纯ALOHA，扩展ALOHA,CSMA,ISMA等的多径通信协议通信仿真实现，程序结果给出了各个通信协议下传输数据的成功率和时间延迟。(Realize that the source code such as: pure ALOHA, the expansion of ALOHA, CSMA, ISMA and other multi-path communication protocol communication simulation realize, given the results of the proceedings of various communication protocols to transmit data under the success rate and time delay.)

利用独立分量分析方法对三个信号进行分离，入门学习(The use of independent component analysis method to separate the three signals, Introduction to learning)

This matlab code is for pressure profile for slider bearing. Inputs need to be given acc to bearing being used.

根据灰色预测理论，用程序实现预测，效果较好(According to the gray prediction theory, use the program predicts better)

matlab 降维工具箱，最新版本。包含各类线性及非线性降维代码，lle,lpp,mvu,isomap,npe等皆在其中。(DRTOOL, by itself, creates a new DRTOOL or raises the existing singleton*. H = DRTOOL returns the handle to a new DRTOOL or the handle to the existing singleton*. DRTOOL( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in DRTOOL.M with the given input arguments. DRTOOL( Property , Value ,...) creates a new DRTOOL or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before drtool_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to drtool_OpeningFcn via varargin. *See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one instance to run (singleton)".)

GPS_INS紧耦合组合导航系统研究,对学习组合导航系统有一定的参考价值(GPS_INS tightly coupled integrated navigation system, integrated navigation system for the study has some reference value)

Univercity of Bristol几个学生用6DOF（也即是GY-521三轴加速度+三轴陀螺）制作的测步器，可以看到他们成功测量出各轴旋转以及xyz轴的位移(Univercity of Bristol several students 6DOF (that is, GY-521 triaxial accelerometer+ triaxial gyro) produced measured steps, you can see their success measurement of the displacement of each axis and xyz axis)

频域内的模态参数识别方法之多参考点最小二乘复频域法，完全自己编写，希望有同样做模态参数识别的前辈给予指教与帮助(Frequency domain modal parameter identification methods as much as the reference point complex frequency domain least-squares method, completely on my own to write, want to have to do the same modal parameter identification predecessors give advice and help)