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说明：  本书旨在指导学生掌握数学建模的思想和方法，包括离散建模和连续建模，是外文的翻译版。(This book aims to guide students to master the ideas and methods of mathematical modeling, including modeling of discrete and continuous modeling, is a foreign language translations.)

说明：  运动载体的定位与导航一般应用Kalman滤波算法。可 靠的Kalman滤波算法要求有可靠的函数模型、随机模型以 及合理的估计方法。实际情况中运动载体一般难以确保规 则运动，因而精确的函数模型的构造十分困难。近年来， 有不少学者对机动载体运动模型进行了讨论，所属内容各 具特点，建立的各种模型包括微分多项式模型、常速度模 型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)

一维云模型的评价代码，可以完成评价等功能。(One-dimensional cloud model)

说明：  计算模糊熵值，在样本熵的基础上进行改进的模糊航，计算时间序列的复杂性(Computable Fuzzy Entropy Value.An improved fuzzy navigation based on sample entropy is used to calculate the complexity of time series.)

说明：  利用python来构建一个BA无标度网络模型，可以更改参数(Using Python to build a BA scale-free network model, parameters can be changed)

MATLAB在电子信息通信中的应用~书上及课后的MATLAB源代码~(MATLAB codes in the book of 《MATLAB-useing communication 》)

在空间谱估计中的多重信号分类算法的一个小示例(A small example of multiple signal classification algorithms in spatial spectral estimation)

matlab用于处理图像图像的应用，全书所有的代码都在(matlab image processing images for applications, all of the code in the book)

The Comparison in capacity between SISO and MIMO

说明：  例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)