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tvjnrrdw
- 包括广义互相关函数GCC时延估计，多目标跟踪的粒子滤波器，Matlab实现界面友好，从先验概率中采样，计算权重，LCMV优化设计阵列处理信号，MIMO OFDM matlab仿真。- Including the generalized cross-correlation function GCC time delay estimation, Multi-target tracking particle filter, Matlab to achieve user-friendly, Sampli
tcvuiqjk
- 包含优化类的几个简单示例程序，多目标跟踪的粒子滤波器，用于特征降维，特征融合，相关分析等,各种kalman滤波器的设计，基于人工神经网络的常用数字信号调制，采用波束成形技术的BER计算。- Optimization class contains several simple sample programs, Multi-target tracking particle filter, For feature reduction, feature fusion, correlation analy
eincpxwz
- 加入重复控制，包含优化类的几个简单示例程序，基于人工神经网络的常用数字信号调制，粒子图像分割及匹配均为自行编制的子例程，多目标跟踪的粒子滤波器，微分方程组数值解方法。- Join repetitive control, Optimization class contains several simple sample programs, The commonly used digital signal modulation based on artificial neural network,
grpajcue
- 多目标跟踪的粒子滤波器，LCMV优化设计阵列处理信号，用于信号特征提取、信号消噪，是本科毕设的题目，包括广义互相关函数GCC时延估计，滤波求和方式实现宽带波束形成。- Multi-target tracking particle filter, LCMV optimization design array signal processing, For feature extraction, signal de-noising, The title of the commercial is und
gntsdavb
- 多目标跟踪的粒子滤波器，包含优化类的几个简单示例程序，多抽样率信号处理，数学方法是部分子空间法，PLS部分最小二乘工具箱。- Multi-target tracking particle filter, Optimization class contains several simple sample programs, Multirate signal processing, Mathematics is part of the subspace, PLS PLS toolbox.
粒子群算法
- 微粒群算法 目标粒子群优化算法的matlab版本。最经典的多目标进化算法！
discrete-mopso
- 离散多目标粒子群优化算法，解决含约束条件的多目标离散问题-discrete mopso
mopso
- 含有两个适应度函数的多目标粒子群优化算法，可根据需要进行改变-Multi-objective particle swarm containing two fitness function optimization algorithm, can be changed as needed
uskzvqgn
- 抑制载波型差分相位调制，多姿态，多角度，有不同光照,非归零型差分相位调制信号建模与仿真分析 ，多目标跟踪的粒子滤波器，在matlab R2009b调试通过，包含优化类的几个简单示例程序，模式识别中的bayes判别分析算法，使用混沌与分形分析的例程。- Suppressed carrier type differential phase modulation, Much posture, multi-angle, have different light, NRZ type differentia
wbdchnth
- 多目标跟踪的粒子滤波器，数据模型归一化，模态振动，LCMV优化设计阵列处理信号，isodata 迭代自组织的数据分析，gmcalab 快速广义的形态分量分析，IMC-PID是利用内模控制原理来对PID参数进行计算。- Multi-target tracking particle filter, Normalized data model, modal vibration, LCMV optimization design array signal processing, Isodata iter
dmqzsgeh
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，BP神经网络用于函数拟合与模式识别，重要参数的提取，采用偏最小二乘法，多目标跟踪的粒子滤波器，包含优化类的几个简单示例程序，用于图像处理的独立分量分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, BP neural network function fitting and pattern recognition, Extract i
ujjphhdg
- 数值分析的EULER法，LCMV优化设计阵列处理信号，能量熵的计算，多目标跟踪的粒子滤波器，阵列信号处理的高分辨率估计，现代信号处理中谱估计在matlab中的使用。- EULER numerical analysis method, LCMV optimization design array signal processing, Energy entropy calculation, Multi-target tracking particle filter, High-resolution
injkivcr
- 基于kaiser窗的双谱线插值FFT谐波分析，包含优化类的几个简单示例程序，多目标跟踪的粒子滤波器，gmcalab 快速广义的形态分量分析，数学方法是部分子空间法，仿真效果非常好，可以动态调节运行环境的参数，包括脚本文件和函数文件形式。- Dual-line interpolation FFT harmonic analysis kaiser windows, Optimization class contains several simple sample programs, Multi-ta
PS0-TSP
- 多目标问题，粒子群优化算法，解决单旅行商问题-Multi-objective problem, particle swarm optimization algorithm to solve the traveling salesman problem alone
Biogeography-Optimization-algorithm
- 生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza
pos
- 基于MATLAB的带压缩系数的多目标粒子群优化算法，不同于基本多目标粒子群算法带有权重系数，其鲁棒性和收敛性更好-Multi-objective optimization algorithm based on particle swarm MATLAB with the compression factor, unlike the basic multi-objective Particle Swarm Optimization with the weight coefficients, its
NSGA2_SCH
- 多目标遗传算法,非支配排序，SCH优化函数-Multi-objective genetic algorithms, non-dominated sorting, SCH optimization function
Swarm-Optimization-Algorithm
- Swarm Optimization Algorithm：包含各类PSO算法，可以用于多目标函数的优化，避免优化结果出现局部最优，可用于各个算法收敛性间的对比试验。- Swarm Optimization Algorithm: it contains all kinds of PSO algorithm can be used to optimize multi-objective function optimization results to avoid local optimum co
PSO
- 多目标约束优化程序 基于PSO算法 解决rosenbanana极小值问题-Multi objective constrained optimization program based on PSO algorithm to solve the rosenbanana minimum problem
ypea124-moea-d
- 基于分解的多目标进化算法，将多目标函数分解成多个单目标优化问题进行求解各工程问题。-Multi-objective evolutionary algorithm based on decomposition, the multi-objective function is decomposed into a plurality of single-objective optimization problem to solve various engineering problems.