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F2T子函数，在做傅里叶变换时调用的函数。也可做成脚本文件。(F2T subroutine, called when doing Fourier transform function. Can also be made into a script file.)

it an Eye tracking code for starbust algorithm in matlab.

这是雷达成像中的一个简单的成像算法-RD算法，这个算法能很好的成像，而且成像质量也不错(This is the radar imaging of a simple algorithm-RD imaging algorithm, this algorithm can be very good imaging, and image quality is also good)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

带有MPPT功能的光伏阵列Matlab通用仿真模型.kdh(MPPT in PV arrays with Matlab Simulation Model. Kdh)

matlab源程序，实现了自适应滤波器中LMS自适应算法。(matlab source code to achieve the adaptive filter in the LMS adaptive algorithm.)

Matlab+PID控制资料 基于MATLAB的PID控制器设计(PID controller design Matlab+PID control data based on MATLAB)

This file contains a lab which is developed to implement a low pass filter using windowing technique. We study the way how to design FIR digital filters and how Matlab offers tools for the design.

matlab的m文件，通过读取sd卡的内容显示成动态图像并生成avi视频文件(matlab m files sd card by reading the contents of the display into a dynamic image and generate avi video files)

随机权神经网络预测光伏电池的光功率的matlab仿真源代码(A random vector functional link network (RVFLN)It is proved that the RVFLN not only trains much faster with good generalization performance, but also overcomes some pos- sible fl aws (such as the low convergence rate and the local minimum) of the BP algorithm. But poor quality RVFLN is usually obtained whenever the training data are corrupted with outliers.)