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对含有噪声滚动轴承振动信号做小波降噪，得到降噪后的波形(Waveform contains noise vibration signals do wavelet noise reduction, reduce noise after)

msk调制——参照原理框图——新手望各位高手指教(msk modulation-- Principle reference frame-- beginner to expert advise Pillar)

Matlab与数值分析简明教程,一共十章，针对不同类型的数值分析，每章一个数值分析实验，有详细的代码，以及练习(Matlab and numerical analysis of a simple tutorial, a total of ten chapters for different types of numerical analysis, each chapter a numerical analysis of experiments, the code in detail, as well as practice)

灰色预测是就灰色系统所做的预测。所谓灰色系统是介于白色系统和黑箱系统之间的过渡系统。其具体的含义是:如果某一系统的全部信息已知为白色系统，全部信息未知为黑箱系统，部分信息已知，部分信息未知，那么这一系统就是灰色系统。(Grey prediction is the prediction of grey system. The so-called grey system is a transitional system between the white system and the black box system. Its concrete meaning is: if all information of a system is known as a white system, all information is unknown as a black box system, some information is known, and some information is unknown, then this system is a grey system.)

理想大气数据计算密度 压强 温度，0-40km以内高度(Ideal atmospheric pressure temperature data density within ,0-40km height)

基于定义法计算Lyapunov指数。只要在matlab命令窗口中直接输入文件中函数的名称即可。(calculated based on the definition of Lyapunov exponent. Matlab as long as the order window directly onto the document function name instead.)

说明：  伽辽金无网格法求解一维问题的MATLAB代码，内附2个子程序。(the method of glarkin meshless)

时频分析工具箱，大家可以借鉴一下DiscreteTFDsDiscreteTFDs(The time-frequency analysis toolbox, we can learn from you DiscreteTFDsDiscreteTFDs)

说明：  车牌识别系统 车牌定位 分割 和识别 识别是模板匹配的方法matlab(Matlab license plate recognition system)

下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)