PSO-1

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

在时域中表示，短时傅里叶变换，取1000个采样点，加窗函数，画出原始信号，三维，等高图(In the time domain, said the short-time Fourier transform, take 1000 a sampling point, add window function, draw the original signal, 3 d, contour map)

说明：  该代码为灰度模型代码，包含数据导入、参数估计、预测(parameter estimation，Data import，forecast)

说明：  dmc代码,实现动态矩阵控制，老外编写的代码(DMC)

基于RA码的信道编码与物理层网络编码联合设计仿真程序(Based on the physical layer channel coding and network coding RA joint design simulation program code)

gazdag的相移法偏移程序，经测试可以使用(migration )

根据刘金坤老师那本PID控制书籍，搭建的单神经元PID控制仿真模型(According to that PID control books of Liu Jinkun teacher , this is a single neuron PID control simulation model)

It describes how to use the Homomorphic filter and find its quality measures in the form of gui in matlab.

Powell s Optimization technique used for image processing.

用FEM，有限元法解决电磁场中的相关问题，二维，三维，时域等一系列东西，佷用参考价值(Using FEM, finite element method to solve issues related to electromagnetic fields, two-dimensional, three-dimensional, time-domain and a series of things, Hen with reference value)