TSp

运放电路分析，非常实用，简单易懂，有图解分析。(Op amp circuit analysis, is very practical, easy to understand, there are graphic analysis.)

PCA主成分分析，是一种常用的基于变量协方差矩 阵对信息进行处理、压缩和抽提的有效方 法。 (PCA principal component analysis, is a common and effective method is based on the covariance matrix of variable information processing, compression and extracted.)

说明：  自相关函数和互相关函数的matlab计算和作图，这个是信号分析里的概念，他们分别表示的是两个时间序列之间和同一个时间序列在任意两个不同时刻的取值之间的相关程度。(Self correlation function and cross-correlation function of matlab calculation and drawing, this is a concept in signal analysis, they are respectively represent the is between any two different time value relevance of the two time series and the same time series.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

线性SVM分类，数据已给出，代码很详尽哈(Linear SVM classification, data has been given, the code is very detailed and Kazakhstan)

Example of montage series image using matlab

利用最速下降法计算最小曲面的面积，初始条件为0，边界条件为正方形固定边界。(Using steepest descent method to calculate the minimum surface area. Initial condition is 0, while boundary condition is square fixed values.)

DEEC is a protocol developed for wireless sensor networks and is a routing protocol

Andriod IR for Arduino

对于配电网重构的研究是很有用的，本例子相当有用，(Reconstruction of the distribution network is very useful, very useful in this case,)