lorenz

This method handles the border by repeating the closest values to the point accessed. This is different from matlabs border handling.

Various 2D Operations

说明：  关于亚像素边缘检测的一些文章，感觉比较有用(Subpixel edge detection on some articles, I feel more useful)

Matlab中三相交-交变频器的仿真,利用SPWM调制实现开关管的动作(the simulantion model of three-phase ac-ac converter )

泊松过程检验验证随机过程是否是泊松过程，运用算法对随机过程经进行检验(Poisson process inspection)

在matlab环境中，利用单纯形法求解线性规划问题(In the matlab environment, using the simplex method for solving linear programming problems)

使用摄像头 ，进行手势识别的matlab程序(hands recognition)

说明：  波束形成中利用ML算法实现自适应波束形成的matlab代码(ML beamforming using adaptive beamforming algorithm matlab code)

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

isar成像：包络对齐与自聚焦，最大相关包络对齐，多特显点自聚焦算法，都是以子函数列出，方便使用(ISAR imaging: envelope alignment and self focusing, the maximum correlation envelope alignment, multiple prominent point autofocus algorithm, are listed in the sub function, easy to use)