lms

At this moment, the major obstacle of wide PV system commercialization is the high initial investment cost that stems from the strict grid connection standards and high expectations from the PV system [2], [3]. The grid-connected PV system consists of two parts: PV arrays that convert irradiation to electrical energy, and the converter that feeds the energy into the grid.

ofdm系统中QPSK和QAM调制解调不同调制方法误码率的比较(ofdm system QPSK and QAM modulation and demodulation error rate of different modulation methods comparison)

均匀线阵方向图仿真程序 包括静态方向图 阵列方向图 带切比雪夫权的阵列方向图的仿真(With a cut over the right plane array direction Schiff Figure simulation)

LBP局部二值模式是一种有效的纹理提取算子,MATLAB实现。(LBP local binary patterns is an effective texture extraction operator, MATLAB implementation.)

与潘左击鼠标拖动，绘制一个右键拖动zoombox，并检视双击所有数据。这也保留任何现有的WindowButtonXFcn这个数字已，以及任何轴UIContextMenus。 我写了实时数据采集这一点，因为linkaxes套XLimMode至“手动“ -这意味着将不会自动调整轴的新数据。 panzoom（figureHandle，axesHandles） 添加到这个数字，只能到指定的坐标轴功能的处理。 panzoom（figureHandle，axesHandles，XLink的） panzoom（figureHandle，axesHandles，XLink的，雁联） 假设你有四个轴处理：1，2，3，4。你可以连接所有的X轴一起：XLink的= [1，2，3，4]，或者你可以对链接在一个单元格数组中：XLink的={[1，2][3，4]}。这同样适用于雁联。 XLink的或雁联也可以为空。(Pan with left click mouse drag, draw a zoombox with right click drag, and view all data with double-click. This also retains any existing WindowButtonXFcn the figure has, as well as any axes UIContextMenus. I wrote this for live data capture, as linkaxes sets XLimMode to "manual"- which means the axes wouldn t automatically resize for new data. panzoom(figureHandle, axesHandles) Adds the functionality to that figure, ONLY to the axes handles specified. panzoom(figureHandle, axesHandles, xLink) panzoom(figureHandle, axesHandles, xLink, yLink) Assuming you have four axes handles: 1, 2, 3, 4. You could link all of the x axes together: xLink = [1, 2, 3, 4], or you could link them in pairs in a cell array: xLink = {[1, 2], [3, 4]}. The same applies for yLink. xLink or yLink can also be empty.)

matlab document help for engineering

matlab航天工程工具箱，相信对航天，卫星仿真的人能有用(Matlab toolbox aerospace engineering, I believe the space, satellite simulation can be useful)

基于主成分分析(PCA)的人脸识别系统 利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度(pca face recognition)

说明：  matlab遗传算法程序 其中包括13个程序(Matlab genetic algorithm which includes 13 procedures)

Bode and Nyquist plot generator using frequency domain