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MATLAB CODE NECESSARY FOR PEOPLE DOING MASTER IN CELESTIAL NAVIGATION

实现分时电价模型，削峰填谷，转移24小时一天中用电率，减少谷峰差(Implement TOU model, load shifting, transfer 24 hours a day in electricity rates, reducing the difference between peak and valley)

图像线性滤波、热传导方程滤波、Gabor图像锐化和动态边界算法(Image filtering, heat conduction equation filter, Gabor image sharpening algorithms and dynamic boundary)

matlab的源程序码 是众多功能函数的集合(matlab source code is a collection of large number of function)

几个图象处理程序，用不同的方法进行图象重建(several image processing procedures, use different methods for image reconstruction)

用FFT分析离散时间周期信号的频谱实例，利用FFT分析离散时间周期信号的频谱，通过实验理解分辨率的概念和栅栏效应。(With a the FFT analysis the the frequency spectrum instance of of the discrete-time periodic signal, the use of the FFT analysis the the frequency spectrum of the discrete-time periodic signal, through the experiment understanding of the the the concepts and the picket fence effect of of the resolution.)

A novel algorithm for sparse approximation in redundant dictionaries, called the M-Term Pursuit (MTP). This algorithm decomposes a signal into a linear combination of atoms that are selected in order to represent the main signal components.

采用PQ分解的潮流计算 ，附加5个节点的验证(Flow distribution PQ)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助(Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of MATLAB GUI interface to do help the students)