emd

thermal conductivity -Code for size dependent of cross plane (thermal conductivity-Code for size dependent of cross plane )

paper for research science

层次分析法的详细介绍以及matlab源码(introduce analytic and the program of MATLAB)

Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For certain problems, simulated annealing may be more effective than exhaustive enumeration — provided that the goal is merely to find an acceptably good solution in a fixed amount of time, rather than the best possible solution.

希尔伯特边际谱的程序，可以学习希尔波特变换的方法(Hilbert marginal spectrum of the process, can learn the Hilbert transform method)

kalman滤波方面的书籍，是一本经典的书籍。详细讲述了各种方法及组合滤波方法(kalman filter books, is a classic book. Detail the various methods and composition of the filter)

波束形成，利用capon算法进行测向，模型为一维线阵(Beamforming, direction finding algorithm using capon, one-dimensional linear model)

mô phỏ ng watermaking

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.)

《滑膜变结构控制matlab仿真》第四章( synovial VSC matlab simulation Chapter 4)