apdijkstra

matlab函数总结，有详细使用说明，包括函数用法，适合不熟悉函数的朋友。(matlab function summary, with detailed instructions for use, including the function of usage, for friends are not familiar with the function.)

主成分分析的matlab编码,用于矩阵求特征值特征向量(Principal component analysis matlab coding for matrix eigenvalue eigenvector)

无刷直流电机数学模型及其控制系统，效果良好，控制精度高(Brushless DC motor mathematical model and its control system to good effect, high precision control)

多视图几何的源代码Multiple_View_Geometry_in_Computer_Vision(Multiple View Geometry in Computer Vision 2nd Edition)

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

this code is used for signal equalization in receivers

the m file generates the C/A codes for GNSS system

relevant dimensionality estimate toolbox(relevant dimensionality estimate)

计算天线阵列的多种不同布阵方式的方向图，基本的。( This is a MATLAB based program that computes the radiation characteristics of: I. LINEAR ARRAYS(UNIFORM & BROADSIDE NONUNIFORM) II. PLANAR ARRAY (BROADSIDE UNIFORM) II. CIRCULAR ARRAY (BROADSIDE UNIFORM))

基于matlab的水果分类识别，将图中水果进行识别(Matlab fruit-based classification, the fruit will be identified in Figure)