chazhiyunihe

ofdm信号通过sui信道，希望对大家学习有所借鉴学习(ofdm signal through sui channel, and they hope to learn from everyone has been learning to learn)

Introduction to MATLAB - Sikander M. Mirza, this book contain the general instructions of Matlab..

thnx for ur concern which helps me out simulink problems

This is code for Embedding in PVD

进行多项式拟合曲线和参数，给出数据和m文件(Polynomial curve fitting and parameters, given the data and m files)

说明：  纯滞后系统的smith控制算法，给出了仿真程序清单和simulink仿真模块(delay systems smith control algorithm, a simulation program is given a list and Simulink simulation module)

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.)

极坐标，对数极坐标变换及其反变换分类:matlab与图像处理(polar coordinates, very few of coordinate transformation and its inverse transform Categories : MATLAB and Image Processing)

说明：  This code simulates one dimensional resonance by FDTD

说明：  变分模态分解算法是2014年新提出的，广泛应用于信号处理领域。 VMD分解的子程序，给定分解的时域信号，数据保真约束平衡参数、噪声波峰时间步长、VMD分解个数、迭代精度可以得到 分解的子分量、子分量的波谱、各模式的中心频率。(The variational mode decomposition (VMD) algorithm was proposed in 2014, which is widely used in the field of signal processing. Given the time domain signal decomposed by VMD, the data fidelity constraint balance parameter, the time step of noise peak, the number of VMD decomposition and the iteration accuracy, the decomposed sub components, the spectrum of sub components and the center frequency of each mode can be obtained.)