decRation

说明：  非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数(independent component analysis (ICA))

可以根据不同需要，生成各级路面的空间路面谱(According to different needs, generate a spectrum at all levels of road space road)

说明：  Sorting, Searching, and Classification using Matlab

Ofdm simulation with equalization

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.)

经验模式分解，用于局域波分解，使用于多分量信号分析(empirical mode decomposition, for the local wave decomposition, in the use of multi-component signal analysis)

matlab实现的目标跟踪算法，经调试能用。(Target tracking algorithm matlab implementation, debugging can be used.)

LDPC编码的误码率分析，包括四种译码方法。(LDPC coded BER analysis, including four decoding methods.)

计算电磁学，E文，适用于电磁场，微波，射频等专业，简单易懂且实用，有MATLAB例子，不容错过(Computational electromagnetics, applies to electromagnetic fields, microwave, radio frequency, and other professional, easy to understand and practical, MATLAB examples, not to be missed)

说明：  tsp的算法讲解和实现，适合学生应用，也适合需要者参考(tsp explanation and implementation algorithms, suitable for students to use, but also for those who need information)