matlab_picture_video

将像素数据写成一幅PPM格式的图片，像素数据为灰度图的数据，附件里有一个图像数据，宽150，高90，共100帧(The data will be written in a grayscale image PPM format, the program is written in matlab, the file contains a grayscale data.)

基于MATLAB的电力系统短路的程序，实用性很强，改一下就可以套用(MATLAB-based power system short-circuit the process, very practical, and change what you can apply)

说明：  蒙特卡罗模拟随机数是最好的方式，本程序设计在552nm脉冲后，再一左一右的657nm冷却脉冲，测试激发达到100 的概率，尤其考查蓝、绿及近红外波段(MATLAB 6.5 Monte Carlo simulation cool3.m This simulation cycles "num" number of atoms "steps" times, with a cooling sequence of a 657 nm cooling pulse from the right, then a 657 nm cooling pulse from the left, followed by a 552 nm quenching pulse. Then the sequence is repeated with cooling pluses first incident from the left. Switching the pulse direction order helps maintain symmetery in the resultant velocity distribution. The probability of quenching the excited state is no longer 100 , it is "percent" Random blue, IR, and green photon recoil kicks have been included in the simulation due to the quenching. )

pipelined ADC, 各种参数可调，最后包括fft分析和整个传输曲线(pipelined ADC, adjustable parameters, and finally including the entire transfer curve analysis and fft)

用非线性kalman filter，也就是扩展kalman filter 实现对非线性状态方程的估计，能够很好地追踪目标。(Nonlinear kalman filter, which is extended kalman filter to achieve the estimated nonlinear equation of state can be a good track targets.)

FPV相册傻瓜式教程,对于想使用FPV的新手来说值得一看。(FPV album fool tutorial, you want to use for novice FPV worth a visit.)

荧光光谱聚类分析软件，可对物质的荧光光谱进行分类。(Fluorescence spectroscopy analysis software for clustering)

经典AR模型系数求解，burg法.根据原理手编，希望对大家有帮助。(the method of burg to get the coefficients of AR model)

该模型主要实现Chirp系统中Chirp信号的BOK调制，Chirp信号分为上扫频和下扫频信号，可以通过对正余弦信号进行BOK调制来产生。(This model mainly realize the BOK modulation Chirp Chirp signal in the system, under the Chirp signal is divided into the upper frequency sweep and frequency sweep signal, can pass to BOK is cosine signal modulation to produce. )

The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images. These functions illustrate the power of Mathematica in the prototyping of image processing algorithms. The