ae582_hw3

说明：  matlab经典算法程序,包括：插值与拟合、规划问题、绘图、解方程、数据分析等等，对初学者有些帮助，到现在还经常看看，温故而知新。(classical algorithm matlab procedures, including: interpolation and fitting, planning, mapping, solution of equations, data analysis, etc., for beginners and some help, and now often see温故而知新.)

用matlab实现万年编程，显示年月日当前时间(Years to achieve with matlab programming, displays the current month, day time)

自己编写的一个用匈牙利算法求最大完备对集的MATLAB程序(I have written on the Hungarian algorithm seeking the most complete set of MATLAB programs)

文章介绍 了交通流元胞自动机模型的产生与发展,总结和评述了国内外各种元胞自动机模型,并对元胞自动机模型的发展提出 展望。 (This paper introduces the establishment and development of cellular automata model of traffic flow, summarizes and comments on different kinds of typical cellular automata models of traffic flow, and furthermore, presents a new perspective for further study of the model· )

WSN下面一种集中式的分簇算法，是对LEACH的一种改进LEACHC(WSN following a kind of centralized clustering algorithm, is an improvement LEACHC LEACH)

差分法可逆水印算法仿真,对可逆水印研究有所帮助(Reversible watermarking algorithm difference method simulation, to help the study of reversible watermarking)

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".

用matlab实现Elman神经网络(Elman neural network using matlab)

Interface Sap2000 - Matlab

分析带通采样定理的原理和实现过程，说明带通信号重构原始信号的方法，仿真给出不同采样频率和低通采样性能对比(By analyzing the principle and implementation process of the bandpass sampling theorem, the method of reconstructing the original signal with the signal is explained, and the performance comparison of different sampling frequency and low pass sampling is given.)