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this is classifier using Euclidean distance measure for palm print recognition

Mstar 的 MST705 TCON芯片 参考源代码(MST705 source code)

he effects of high power amplifier on the ofdam

CRC check for WLN frame word！

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.)

The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.

matlab关于微分方程的解法.来自山东大学课件(matlab on differential equations.)

matlab信道编码程序，可用于仿真设计TCH/FS信道各模块，检验、测试它们的性能,仿真与分析TCH/FS信道的信噪误码性能。 (channel coding matlab procedures, design simulation can be used to TCH/FS channel of the module, test, test their performance, Simulation and Analysis of TCH/FS channel BER noise letter.)

介绍一个如何用MATLAB中的限幅方法仿真PAPR(introduce a clrpping method to simulation PAPR)

这个是我自己编写的基于混沌自适应粒子群优化的matlab程序,得出了非常好的效果!(This is what I have written based on adaptive particle swarm optimization chaos matlab program, obtained very good results!)