d_014_pmu_l14

Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm. Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc. Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann Can be used both from Java or Matlab. Time for a 100x100 assignment problem, with k=20: • Matlab implementation: 54.5 sec • Java implementation: 1 sec

Code matlab Code matlab Code matlab

基于emd技术的非线性信号分解，把信号分解为有限个分量。然后对其非线性因素进行分析，是解决非线性系统的一大好处，hht(Emd technologies based on nonlinear signal decomposition, the signal is decomposed into a finite number of components. Then analyze its nonlinear factors, is to solve the nonlinear system is a big advantage, hht)

its code to classification with LDA in matlab

包络曲线的求法 matlab中的一种求上下包络的算法，特别经典的两种算法(Envelope curve for France matlab down in one envelope seeking algorithms, especially the classic two algorithms)

求解tsp的改进遗传算法matlab源码(Improved Genetic Algorithms Matlab FOSS)

基于matlab的光的干涉的图形仿真，在matlab7.0或者matlab6.5软件下可以运行(something about matlab)

Luenberger observer matlab simulink simulation

用于多用户检测技术的MMSE检测器matlab仿真(MMSE detector matlab simulation)

matlab一些常用的函数介绍,大家可以用一下(matlab function to introduce a number of commonly used)