SVPWM_for_ACmotor

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

设计一个滤波器滤除正弦信号中的噪声，还原正弦信号。正弦信号为sin100t，噪声信号是均值为0、方差为1的高斯白噪声。信号采样频率为2000 Hz。(The design of a filter to filter out the noise in the sinusoidal signal, restoring the sinusoidal signal. Sinusoidal signal sin100t, and noise signal with mean 0 and variance 1 Gaussian white noise. Signal sampling frequency of 2000 Hz.)

混合高斯背景建模的实现程序,Matlab编写,运算速度极慢，但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。(The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sample code. SJTU PRP authors and participate in projects written. This code has been in the original project is no longer used.)

This contains the full set of source files for the MatClass library together with a make file to create the libraries using Microsoft C/C++ v7 or later. This make file is a stand-alone file to be used with NMAKE or as a NON-PWB makefile in PWB. Note the make file generates uses the Large Memory model. It generates a library file called LIBMAT.LIB.

说明：  MATLAB实用教程（第2版）实例源代码程序EXE0704(MATLAB Practical Guide (2nd Edition) examples source code program EXE0704)

用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。(Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.)

runga kutta numerical integration method

噪声干扰信号的Matlab仿真 噪声调幅、调频、调相信号的Matlab仿真(Matlab simulation noise signal noise AM, FM, phase modulation signal Matlab simulation)

直接序列扩频，利用MATLAB程序实现对原信号的扩频与解扩，有利于信号的抗干扰传输(Direct sequence spread spectrum, use the MATLAB program for spreading and despreading the original signal, the signal interference in favor of transmission)

matlab identification of cht