Ga

说明：  图像的双线性插值放大算法中，目标图像中新创造的象素值，是由源图像位 置在它附近的2*2 区域4 个邻近象素的值通过加权平均计算得出的。 双线性内插 值算法放大后的图像质量较高，不会出现像素值不连续的的情况。然而次算法具 有低通滤波器的性质，使高频分量受损，所以可能会使图像轮廓在一定程度上变 得模糊。 (Bilinear interpolation algorithm to enlarge the image, the target image in the newly created pixel value is determined by the source image position in its area near the 4 2* 2 the value of neighboring pixels calculated by the weighted average. Bilinear interpolation algorithm to enlarge the image quality after the high pixel value does not appear the situation is not continuous. However, sub-algorithm has low-pass filter nature of the damage to the high frequency components, it may make the image contour to some extent become blurred.)

说明：  用matlab实现谱估计，包括自相关及burg等(Using matlab to achieve spectral estimation, including autocorrelation and burg, etc.)

图论中的floyd算法。简单的小程序，可以插入任何过程中，方便实用。(In graph theory algorithms. Simple procedure, you can insert any process, convenient and practical.)

matlab中用于UI6008数据采集卡的数据采集以及输出的程序 使用方便快捷 模拟仿真实现PI控制(for UI6008 data acquisition card for data acquisition and output in matlab program easy to use simulation to achieve the PI control)

Grid-Connected Boost-Half-Bridge Photovoltaic Microinverter System Using Repetitive Current Control and Maximum Power Point Tracking

matlab是实现通信理论及应用的很有用的一个工具，本文会给你很多启发(matlab is to achieve communication theory and application of a very useful tool, this article will give you a lot of inspiration)

光伏逆变器的仿真文件，带Boost，可以很好的仿真，用于公司的实际样机仿真中，效果还不错(PV inverter simulation file with Boost, good simulation for the actual prototype simulation results were pretty good)

说明：  很详尽的傅里叶变换课件，可以学习下，适合初学者。(Fourier transform is very detailed courseware, you can study, one for beginners.)

matlab的运动目标分割 车辆检测 平均建模背景差分(Moving object segmentation matlab Vehicle Detection average difference modeling background)

machine learning-Density Estimation objects. parzen - Parzen s windows kernel density estimator indep - Density estimator which assumes feature independence bayes - Classifer based on density estimation for each class gauss - Normal distribution density estimator