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我编写hopf的神经网络应用程序，第一次上传(I prepared the neural network applications, the first upload)

说明：  In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. However, metaheuristics such as DE do not guarantee an optimal solution is ever found.

夏氏递推算法。利用附件中的数据进行运算，给出运行结果。这是我们最近课程中用到的一个例程，希望对大家有用。(xiashiditui. Use the data contained in the annex to the operations, given the operating results. This is a routine we have recently used in the course, the hope that useful.)

用于决策树中对数据进行分类，适合机器学习等领域(For a decision tree to classify data for machine learning and other fields)

matlab关于直方图，均衡化，白平衡，匹配，边缘检测，图像变换的有关数字图像处理方面的几个程序代码。(matlab on histogram equalization, white balance, matching, edge detection, image transformation on several aspects of digital image processing code.)

The Matlab code FDE12 implements the Predictor-Corrector method of Adams-Bashforth-Moulton for the numerical solution of a non-linear fractional differential equation (FDE) (download the Matlab code FDE12).

马尔科夫状态转换模型的matlab预测程序(markov regime switching model code on matlab)

信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)

A hybrid approach combining extreme learning machine and sparse representation for image classification

数字信号处理中使用窗函数法设计线性相位高通FIR，性能良好(Digital signal processing using window function method to design linear phase FIR high-pass, good performance)