Multi-Sensor-Data-Fusion-with-MATLAB

this code shows the gives the excel sheet of required parameter as given in the code for show the comparison ...............by pandey ji

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.)

logistic差分方程倍周期和混沌分支图。(logistic difference equation fold periodic and chaotic branching diagram.)

mcmc的程序及算法说明，学习的可以参考一下(MCMC GATHER A FEW SAMPLES FOR THE MH SAMPLING)

code to work with bathymetry (.nc files) for ocean modeling

matlab编写的水准网平差程序，由测量数据可计算水准网平差结果，得到不错的水准网数据(levelling network computation by use of surveying datas and TSL application)

一个简单的风力机模型，可以调试一下子 (A simple wind turbine model, you can debug a sudden)

A program to show houses, it will help you to add some information on formularies and also to show images.

在MATLAB仿真的基于放大转发系统（AF）的能量分配，通过对比，分析出EPA方案下，功率要更好一些！(MATLAB simulation amplify and forward (AF)-based energy allocation, by contrast, analysis of the EPA program, the power to be better!)

说明：  神经网络进行产量的Matlab源代码 BP 神经网络用于预测 (Neural network output of Matlab source code for BP neural network to predict)