ilc-based-on-PD

关于主元分析的简单的小程序。适用于初学者。(Simple program about PCA. Suitable for beginners.)

说明：  解决EIT中的逆问题，包括吉洪诺夫，Landewer，L1，共轭梯度法等(Solve the inverse problem in EIT, including gihunov, landewer, L1, conjugate gradient method and so on)

基于matlab的2FSK调制与仿真 m文件源程序(2FSK modulation)

these packages is for generating random data

此压缩包为图像识别中sift算法demo，以MATLAB为开发平台。(This archive sift algorithm for image recognition demo, for the development platform in MATLAB.)

解释svm原理用的demo源码並且利用簡單的繪圖秀出結果(Svm theory to explain the demo with source code and showed the results of a simple drawing)

this is a timer that generate number of count every determined period

流形学习中的重要方法MVU的源代码，也就是所谓的sde-Manifold learning an important means of MVU(MVU )

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

说明：  matlab的函数目录，，作为初学者的函数字典，，很有参考价值(matlab function directory, as a function of beginners dictionary, a good reference)