matlab实现GPS接收机中三阶锁相环跟踪环路 pll3

this is Demonstration of Wiener filter,LMS filter,Steep-descent algorithm.(Demonstration of this is Wiener filter, LMS filter, Steep- descent algorithm.)

filtre active parallèle pour la qualité d énergie

边缘检测 基于matlab的图像边缘检测(Edge detection based on image edge detection matlab)

用Python/SciPy实现的卡尔曼滤波算法 将该算法用Matlab语言重新写了一遍的源代码(Using Python/SciPy realize the Kalman filter algorithm of the Matlab language algorithm used to re-write the source code again)

Demo of some Garch models, include ugarch, dcc-garch, ica-garch, and neural network garch, and ica-nn-garch. the last two model are proposaed by me

This is an image segmentation file.

This function computes autocorrelation with a biased scaling.

matlab，讲的很详细和大家分享一下！(matlab, said very detailed and to share with you!)

简单的PID串级控制matlab仿真实例(PID Cascade Control matlab simulation examples)

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.)