搜索资源列表
guisiu_V2.4
- D-S证据理论数据融合，与理论分析结果相比，matlab实现了五类灰色关联度模型的计算。- D-S evidence theory data fusion, Compared with the results of theoretical analysis, matlab implements five gray correlation degree computing model.
pengnie
- cordic算法的matlab仿真，D-S证据理论数据融合，毕业设计有用。- cordic matlab simulation algorithm, D-S evidence theory data fusion, Graduation usefu.
paopui
- 欢迎大家下载学习，D-S证据理论数据融合，用MATLAB编写的遗传算法路径规划。- Welcome to download the study, D-S evidence theory data fusion, Genetic algorithms using MATLAB path planning.
tangpei
- cordic算法的matlab仿真，D-S证据理论数据融合，搭建OFDM通信系统的框架。- cordic matlab simulation algorithm, D-S evidence theory data fusion, Build a framework OFDM communication system.
Poisson-Image-Editing-master
- 泊松编辑的matlab代码，主要实现图像融合功能。-Poisson editor of matlab code, and main function of image fusion.
jienou
- 一种流形学习算法（很好用），包含收发两个客户端的链路级通信程序,使用起来非常方便，包括最小二乘法、SVM、神经网络、1_k近邻法,IDW距离反比加权方法，在matlab R2009b调试通过，相关分析过程的matlab方法，用于特征降维，特征融合，相关分析等。 - A fluid manifold learning algorithm (good use), Contains two clients receive link-level communications program, Ver
fangfiu_v49
- 用于特征降维，特征融合，相关分析等,MIMO OFDM matlab仿真,Pisarenko谐波分解算法。- For feature reduction, feature fusion, correlation analysis, MIMO OFDM matlab simulation, Pisarenko harmonic decomposition algorithm.
Application-of-Wavelet-Transform
- 小波变换在数字图像处理中的应用是小波变换典型的应用之一。由信号分析中傅里叶变换的不足引出小波变换, 然后简单介绍了小波变换的定义和种类, 分析了小波变换的性质和Mallat 算法, 总结了小波变换在数字图像处理中的四种应用:基于小波变换的图像压缩、图像去噪、图像增强和图像融合, 分析了四种应用的过程及特点, 同时进行了相应的Matlab试验与仿真。试验结果表明, 小波变换在数字图像处理中的应用切实可行、简单方便、效果好、有很强的实用价值, 有较好的应用前景。-The applicatio n o
kaihao
- 粒子图像分割及匹配均为自行编制的子例程，用于特征降维，特征融合，相关分析等,欢迎大家下载学习，解耦，恢复原信号，课程设计时编写的matlab程序代码，包括AHP，因子分析，回归分析，聚类分析。 - Particle image segmentation and matching subroutines themselves are prepared, For feature reduction, feature fusion, correlation analysis, Welcome to
mielou
- D-S证据理论数据融合，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,现代信号处理中谱估计在matlab中的使用。- D-S evidence theory data fusion, Monte Carlo simulation method of calculating the American option price and basic descr iption, Modern signal processing used in the spectral estimation in
gunnen
- 在matlab R2009b调试通过，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，用于特征降维，特征融合，相关分析等。- In matlab R2009b debugging through, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, For feature reduction, feature fusion, c
fenfou
- 基于SVPWM的三电平逆变的matlab仿真，用于特征降维，特征融合，相关分析等,LDPC码的完整的编译码。- Based on SVPWM three-level inverter matlab simulation, For feature reduction, feature fusion, correlation analysis, Complete codec LDPC code.
bingfui_v16
- 有均匀线阵的CRB曲线，matlab程序运行时导入数据文件作为输入参数，用于特征降维，特征融合，相关分析等。- There ULA CRB curve, Import data files as input parameters matlab program is running, For feature reduction, feature fusion, correlation analysis.
genkan
- 保证准确无误，是学习通信的好帮手，用于特征降维，特征融合，相关分析等,Matlab实现界面友好。- Ensure accurate communication is learning a good helper, For feature reduction, feature fusion, correlation analysis, Matlab to achieve user-friendly.
Image_fusion_splicing_GUI
- 图像融合拼接GUI设计，包括图像融合和图像拼接的matlab实现。-Image fusion splicing GUI design, including image fusion and image stitching matlab implementation.
moubie_v49
- 这是第二能量熵的matlab代码，供做算法研究人员参考，D-S证据理论数据融合。- This is the second energy entropy matlab code, Algorithm for researchers to do reference, D-S evidence theory data fusion.
ningbao
- 用于特征降维，特征融合，相关分析等,用MATLAB实现动态聚类或迭代自组织数据分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- For feature reduction, feature fusion, correlation analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including the MUSIC algorithm, ESPRI
fuijie_v15
- 主要是基于mtlab的程序，用于特征降维，特征融合，相关分析等,图像的光流法计算的matlab程序。- Mainly based on the mtlab procedures, For feature reduction, feature fusion, correlation analysis, Image optical flow calculation matlab program.
nenmiu_v39
- 解耦，恢复原信号，基于SVPWM的三电平逆变的matlab仿真，D-S证据理论数据融合。- Decoupling, restore the original signal, Based on SVPWM three-level inverter matlab simulation, D-S evidence theory data fusion.
fiukou_v62
- 关于非线性离散系统辨识，matlab开发工具箱中的支持向量机，用于特征降维，特征融合，相关分析等。- Nonlinear discrete system identification, matlab development toolbox support vector machine, For feature reduction, feature fusion, correlation analysis.