ranking

在陀螺仪测试中，实现ALLAN方差法分析动态数据，得到五个主要参数(Gyroscope test to achieve the the ALLAN variance analysis of dynamic data, five main parameters)

此程序为地震数据处理中的反褶积，用于提高纵向分辨率。此程序构建在简单褶积模型上，分为脉冲和预测反褶积两种，参数可自调。(This procedure for seismic data processing deconvolution, used to improve the vertical resolution. This program is built on a simple convolution model is divided into pulses and predictive deconvolution two parameters can be self-adjusting.)

基于C的Matlab函数功能扩充组合代码(Based on the C to expand the portfolio of Matlab Function code)

本书主要介绍如何运用Matlah与C.C + +进行混合程序设计。共分8章。主要包括Matlab程序设计初步、Matlab编译器、Matlab与C语言的接口、生成可独立运行的iatlah程序、VC++调用Matlah程序、Matlab DotNet Builder与VC++,Matcom与C/C++以及VC++调用Matlab C++数学库。另外，附录中介绍有关动态链接库的基础知识。各章包含大量 的实例程序，可供寻求将Matlab程序脱离Matlab环境的Matlab程序设计人员、寻求在Matlab中调用C/C++程序的程序设计人员、寻求在C,C++中调用Matlab程序的程序设计人员学习和参考。(This book describes how to use Matlah mixed with the CC++ programming. Divided into 8 chapters. Including Matlab programming initially, Matlab compiler, Matlab and C language interface to generate can be run independently of the iatlah program, VC++ calls Matlah program, Matlab DotNet Builder and VC++, Matcom and C/C++ and VC++ calling Matlab C++ math library. In addition, the appendix describes the dynamic link library on the basis of knowledge. Each chapter contains a large number of example programs are available for the Matlab program from the Matlab environment, Matlab programmer, seeking to Matlab to call C/C++ program programmers seek to C, C++ calling Matlab program programmers study and reference.)

Application for control FC Altivar61 from Schneider Electric with network Modvus RTU

关于LTE功率控制参数delta_MCS的选取，权威文档。(About LTE power control parameters delta_MCS selection, authoritative document.)

利用matlab进行五点滑动平均法平滑处理(Using matlab five-point moving average smoothing method)

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)

SGP4官方程序,包括matlab，java，C++等源码和说明文件(Official program of SGP4 model,includes Matlab, VC, Java, etc.)