一个多抽样率信号处理MATLAB环境源码

说明：  关于matlab7的介绍与初步使用,适合新用户上手,阅读需下载ssread阅读器(About matlab7 introduction and initial use for new users get started, read the reader need to download ssread)

Modelisation de la machine asynchrone avec matlab simulink

处理传感器数据,理论上知道三轴加速度和三轴角速度，通过坐标变换和积分就可以获得实时的速度和相对起始位置的距离(Sensor data processing.In theory, the three axis acceleration and the three axis angular velocity can be obtained by coordinate transformation and integration, and the distance between the velocity and the relative starting position can be obtained.)

Matlab仿真程序，介绍了数据的程序结构、运用和算法设计。(Matlab simulation program, introduced procedures for data structure, application and algorithm design.)

自适应滤波算法的MATLAB代码 部分章节(Adaptive filtering algorithm MATLAB code sections)

利用matlab程序编写了如何求解连续状态空间方程的解(Use matlab to write how to solve the continuous state space equation solution )

简单地实现了一、二、三维的K均值聚类，效果还不错，适合初步学习模式识别的同志们(Simple implementation of one, two, three - dimensional k-means clustering, the effect is not bad, it is suitable for the initial learning pattern recognition comrades)

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

FIR 底通和带通滤波器和IIR 底通和带通滤波器，插值与拟合，解方程，数据分析，这是一个好用的频偏估计算法的matlab仿真程序。( Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Interpolation and fitting, solution of equations, data analysis, This is a useful frequency estimation algorithm matlab simulation program.)