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时频分析工具包。包含短时傅里叶变化，vd分解等多种时频分析工具。内有详细帮助可供参考。(Time-frequency analysis tool kit. Include short-time Fourier changes, vd decomposition and other time-frequency analysis tools. There are detailed help for reference.)

比较好的连续潮流算法，结构比较清楚，收敛性能好(Good continuation method)

包括王永良课本单辅助信源法，IEEE文献新算法(Auxiliary_source_method,RMSE_Auxiliary_source_DOA)

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)

神经网络ANN基于matlab的分类程序(Matlab neural network ANN-based classification procedure)

响应面的2阶多项式估计，使用最小二乘法，算法精度高，data数据随便换其他的三维数据(2-order polynomial response surface is estimated using the least squares method, the algorithm accuracy, data data was replaced with other three-dimensional data)

说明：  四阶Runge-Kutta方法（微分方程）,并有例题(Fourth-order Runge-Kutta method (differential equation) with examples)

实现QPSK系统性能仿真，仿真与理论相符，供大家参考！(QPSK System Simulation, Pe evaluation)

基于MATLAB的自适应信号噪声抵消 （LMS 算）法(MATLAB-based adaptive noise cancellation signal (LMS count) Act)