粒子滤波跟踪

关于用matlab软件进行信号处理的基础使用方法和简单实例(On the use of matlab software signal processing methods and the basis for the use of simple examples)

This paper is the result of a literature study carried out by the authors. It is a review of the dierent attempts made to solve the Travelling Salesman Problem with Genetic Algorithms. We present crossover and mutation operators, developed to tackle the Travelling Salesman Problem with Genetic Algorithms with dierent representations such as: binary representation, path representation, adjacency representation, ordinal representation and matrix representation. Likewise, we show the experimental results obtained with dierent standard examples using combination of crossover and mutation operators in relation with path representation. Keywords: Travelling Salesman Problem Genetic Algorithms Binary representation Path representation Adjacency representation Ordinal representation Matrix representation Hybridation. 1 1 Introduction In nature, there exist many processes which seek a stable state. These processes can be seen as natural optimization processes. Over the last...

比较好的matlab程序代码，比较常用的通信信号处理算法程序。(Better matlab program code commonly used communication signal processing algorithm)

a program which analyzes a 2D fluid flow using the reduced basis method

nsl- kdd cup Dataset- Test & Train

isodata 迭代自组织的数据分析，对于初学者具有参考意义，使用大量的有限元法求解偏微分方程，在MATLAB中求图像纹理特征，包括最小二乘法、SVM、神经网络、1_k近邻法,到达过程是的泊松过程。

用模拟退火算法编写的求解车辆路径规划问题，

NSGA2算法将在以下方面进行改进：1、快速的非支配排序    在NSGA进行非支配排序时，规模为N的种群中的每个个体都要针对M个目标函数和种群中的N-1个个体进行比较，复杂度为O(MN)，因此种群中的N个个体都比较结束的复杂度为O(MN2)，即每进行一次Pareto分级的时间复杂度为O(MN2)。在最坏的情况下，每个Pareto级别都只含有一个个体，那么需要进行N次分级所需要的时间复杂度则会上升为O(MN3)。鉴于此，论文中提出了一种快速非支配排序法，该方法的时间复杂度为O(MN2)。    该算法需要保存两个量：    (1).支配个数np。该量是在可行解空间中可以支配个体p的所以个体的数量。    (2).被支配个体集合SP。该量是可行解空间中所有被个体p支配的个体组成的集合。2、种群中个体多样性的保留    原始的NSGA算法中使用共享函数的方法来维持物种的多样性，这种方法包含一个共享参数，该参数为所求解问题中所期望的共享范围。在该范围内，两个个体共享彼此的适应度。但是该方法有两个难点：    (1).共享函数方法在保持多样性的性能很大程度上依赖于所选择的共享参数值。

利用电磁场的源激发方法来计算近场FDTD模拟点光源空间传播,用Matlab编写(The source of electromagnetic fields to stimulate the use of methods to calculate the near-field FDTD simulation of point light sources in space communication, prepared using Matlab)

说明：  一维小波分析对平稳信号消噪 One-dimensional wavelet analysis on the stationary signal denoising一维小波分析对平稳信号消噪 One-dimensional wavelet analysis on the stationary signal denoising