Morse

本DTW的语音识别算法是日本学者sakoe提出的，这种方法比itkura的要好，但本算法没使用到加权，方法简单了，以后再图改进(The DTW recognition algorithm is proposed by Japanese scholars sakoe, this method is better than itkura, but did not use this method to the weighted method is simple, and later plans to improve)

移动机器人寻找目标的程序，让机器人从初始坐标到达目标坐标(Mobile robot to find the target program that allows the robot to reach the target coordinates from the initial coordinates)

说明：  以直驱式永磁同步风力发电机为研究对象，在Matlab/simulink平台建立了风力机模型、传动系统模型，采用变桨距控制。(Taking the direct drive permanent magnet synchronous wind turbine as the research object, the wind turbine model and the transmission system model are established on the MATLAB / Simulink platform, and the variable pitch control is adopted.)

Used by plu to find a pivot for Gaussian elimination

Rayleigh_Clarke瑞利衰落的clarke仿真以及pe_bit误比特率的计算(Rayleigh_Clarke Rayleigh fading clarke simulation and pe_bit The bit error rate calculation)

adaptive control algorithms

说明：  可用于风压数据处理，比如屋面开洞，风压频谱和风压体型系数和风压系数等(Data Processing of Wind Pressure)

MathNet C# Numeric Algorithm Library

matlab航天工程工具箱，相信对航天，卫星仿真的人能有用(Matlab toolbox aerospace engineering, I believe the space, satellite simulation can be useful)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，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。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)