ofdm_simulation

这是一个光伏并网逆变器的仿真，结果良好。希望对学习的人有用(This is a photovoltaic inverter simulation,the results is good)

根据干扰信号波形样式的不同，压制性干扰可分为噪声调幅干扰、噪声调频干扰、噪声调相干扰。就是用噪声或类似噪声的干扰信号遮盖或淹没有用信号，阻止雷达检测目标信息。它的基本原理是：任何一部雷达都有外部噪声和内部噪声，雷达对目标的检测是在这些噪声中进行的，其检测又是基于一定的概率准则的。一般来说，如果目标信号能量S与噪声能量N相比（信噪比S/N），超过检测门限D，则可以保证一定的虚警概率Pfa的条件下达到可检测目标回波所要求的检测概率Pd，简称为可发现目标，否则便称为不可发现目标。(Blanket Jamming can be divided into different styles according to the interference signal waveform, noise AM interference, noise FM jamming noise phase modulation interference. With noise or noise-like interference signal covered or submerged useful signal prevent radar detection target information from. Its basic principle is: any one radar has the external noise and the internal noise of the radar target detection in these noise detection is based on a certain probability criterion. Generally, compared to if the target signal energy S and noise energy N (signal-to-noise ratio S/N), more than the detection threshold D, you can guarantee reach target echo can be detected under the conditions of a certain false alarm probability Pfa requirements detection probability Pd, referred to can be found in the target, otherwise known as not finding the target.)

在电网电压不平衡条件下，采用陷波器不能消除2 的震荡，且也不能对谐波消除。研究发现电压的正序和负序的振荡分量相吻合。不平衡整流(Under the condition of unbalanced power grid voltage, PWM rectifier)

基于模板匹配的人脸检测教程，matlab代码(tutorial of face detection by template)

说明：  无线能量传输（Wireless Energy Transfer）仿真(一篇硕士论文源码)(Program for Wireless Energy Transfer for a master's paper)

灰色预测例题。。。。。。。。。。。。。。。。。。。。。。。。。。。(Grey. . . . . . . . . . . . . . . . . . . . . . . . . . .)

古典MUSIC算法DOA估计，可以确定波达来向(Classical MUSIC Algorithm DOA Estimation)

有关uwb的程序，很有用的，是用matlab编的(Procedures for the uwb, very useful, is compiled matlab)

using matlab litlle introduction and instruction

routine to take the Fourier transform of a signal and plot both the time and frequency domain representations. Typical use: >> n = 100 number of data points >> dt = 0.01 spacing between samples >> t = 0:dt:(n-1)*dt time vector >> y = sin(2*pi*10*t) 10 Hz sin wave >> fft_plot(y,dt) plot of signal in time and frequency domain