GDOP-for-GSM

暂态程序，主要应用于电力系统分析过程当中。(transition)

说明：  这有关于微分方程求解 的 比较实用的 用Matlab 进行编程实现(This is about more practical for Solving Differential Equations with Matlab, programming)

an adaptive quite general fast multipole method in 2 dimensions with a nice Matlab-interface.

跳频通信的simulink仿真，各模块参数设置有英文论文参考，simulink代码已完成(Hopping communication simulink simulation, parameter settings for each module reference papers in English, simulink code has been completed)

this will be very useful doing motion estimation so try this

这是一个三次样条插值的.m程序 输入的是一个二维数组A(Nx2) 插值方法为: S(x) = A(J) + B(J)*( x - x(J) ) + C(J)*( x - x(J) )**2 +D(J) * ( x - x(J) )**3 for x(J) <= x < x(J + 1) (This is a cubic spline interpolation. M program input is a two-dimensional array A (Nx2) interpolation method: S (x) = A (J)+ B (J)* (x- x (J ))+ C (J)* (x- x (J))** 2+ D (J)* (x- x (J))** 3 for x (J) )

本书是基于Matlab6.5的优化工具箱v2.2编写的。书中全面系统地介绍了优化方法的基础理论和优化工具箱v2.2函数的功能、语法和工程实际应用。全书侧重于优化工具箱在工程中的具体应用，通过具体的分析和详细的实例，读者不仅能对Matlab优化工具箱函数的强大功能与一个深刻的了解，更能学会正确运用优化工具箱函数快速解决实际问题，从而提高分析问题和解决问题的能力(This book is based on the optimization toolbox v2.2 Matlab6.5 prepared. The book introduces a comprehensive and systematic optimization approach is based on theory and optimization toolbox v2.2 of functionality, syntax and engineering applications. The book focuses on the optimization toolbox of specific applications in engineering, analysis and detail through specific examples, the reader not only to the Matlab optimization toolbox function power and a profound understanding, better learn to correctly use the fast optimization toolbox function solve practical problems, thereby improving analysis of problems and problem-solving ability)

SAR range-poppler algorithm

python code for cmapss segmentation

仿真效果非常好，本科毕设要求参见标准测试模型，脉冲响应的相关分析算法并检验。( Simulation of the effect is very good, Undergraduate complete set requirements refer to the standard test models, Related impulse response analysis algorithm and inspection.)