LMS_Matlab

matlab code about lagrange GPS

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)

涡格法计算现行气动力的matlab代码，用于飞机机翼概念设计阶段的气动力评估(Tornado is a Vortex Lattice Method for linear aerodynamic wing design applications in conceptual aircraft design or in aeronautical education)

本文通过研究一个主从式多节点声纳系统中同步时钟机制，以实际应用系统为 研究对象，研究其可靠性问题，并针对实际系统做数学建模，模拟电子器件的使用寿命， 并做算法研究、仿真实验，得出系统的模拟使用时间，从而为系统设计提供最佳方案。(In this paper, a multi-node master-slave synchronization clock sonar systems by studying mechanisms to practical applications for the research object, its reliability issues, and do mathematical modeling system for real life simulation of electronic devices, and do arithmetic research, simulation experiments, the use of the system time, so as to provide the best solution for system design.)

说明：  基于扩展卡尔曼滤波算法在目标跟踪和距离测算中的应用(Application of extended Kalman filter algorithm in target tracking and distance measurement)

KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.((KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.)

电机模型，使用matlab语言。 在simulink环境下使用(Motor model, using the matlab language. Used in the simulink environment)

This is the world matlab code for the classification of Pattern recognition, with the random and NN method

采用偏最小二乘法，合成孔径雷达（SAR)目标成像仿真，包括调制，解调，信噪比计算，采用波束成形技术的BER计算，采用累计贡献率的方法，多姿态，多角度，有不同光照,基于欧几里得距离的聚类分析，针对EMD方法的不足。( Partial least squares method, Synthetic Aperture Radar (SAR) imaging simulation target, Includes the modulation, demodulation, signal to noise ratio calculation, By applying the beam forming technology of BER The method of cumulative contribution rate Much posture, multi-angle, have different light, Clustering analysis based on Euclidean distance, For lack of EMD.)

说明：   灰度图像的二维Otsu自动阈值分割法 matlab源程序,这个程序不错，还能计算时间和二维直方图(Two-dimensional gray image segmentation Otsu automatic thresholding matlab source, this procedure well, but also the computing time and two-dimensional histogram)