搜索资源列表
yeqing
- D-S证据理论数据融合，基于权重系数与冲突概率重新分配的证据合成方法,叶 清,系统工程与电子技术。
leebiao
- D-S证据理论，一种基于证据补偿证据冲突的改进方法，基于交并集合。
rsds1
- 提出了一种由粗集理论和D-S证据理论结合的多传感器数据融合方法,并将其应用于目标识别中.
rsds3
- 为解决高冲突证据下的D-S证据理论失效这一问题,在对已有一些代表性改进方法分析的基础上,提出了一种新的基于最优权重分配的D-S改进算法.
rsds5
- 在D-S证据理论的基础上,结合模糊集合论,给出了电子电路故障定位的多传感器数据融合方法.
data_fusion
- D-S证据理论及其相关知识简介、应用实例等知识-DS evidence theory and related knowledge profile, application examples of such knowledge
D-SFusion
- D-S证据理论以及D-S证据合成规则matlab实现 封装成函数简单易用-D-S evidence theory & D-S evidence synthesis matlab programing
MyGame
- In the game, there are two moving objects on a game board, a thief and a police. The thief is controlled by the computer and moves around in the game board randomly. The user (i.e., the player) moves the police left, down, right and up by pressin
641
- D-S证据理论算法Java实现，完成信息融合技术的身份识别算法。-DS evidence theory algorithm for Java implementation, complete identity information fusion algorithm.
lyf
- 利用图像的不变矩以及模式识别的内容，构造三维飞机图像的矩特征，然后再利用D-S证据理论的改进方法 吸收法对图像进行融合 对飞机的型号进行匹配-Moment invariant of image and pattern recognition of the content, structure features three-dimensional plane images of the moment, and then use the improved DS evidence theory met
ds
- 本文件是用matlab来实现的D-S证据理论代码。可以进行DS证据理论的推到验证-This document is achieved by matlab code DS evidence theory. DS evidence theory can be pushed to the validation
fault-line-detection
- 本文为基于D-S证据理论的配电网故障选线，使用matlab仿真，结果可信-D-S theory based fault line detection,the simulation is proved right
D-S-evidence-theory
- D—S证据理论下的频谱感知，比较基础。适合初学者学习研究，并进行改进。-D-S evidence theory the spectrum of perception, regardless of the basis. For beginners learning research, and make improvements.
D-S
- C#实现D-S证据理论的融合，首先阐述了什么是D_S证据理论人，然后是C#编程实现了证据理论-C# implementation of DS evidence theory
D-S_funsion
- 简单的D-S证据理论融合检测方法matlab程序-D-S evidence theory fusion detection method
d-s-function
- 实现d-s证据理论在matlab中的运算，简化程序结构-Ds evidence theory in matlab computing to simplify the structure of the program
d-s_for_matlab
- matlab实现的D-S证据理论代码实现-the matlab implementation DS evidence theory code to achieve
故障诊断与容错控制课程设计报告
- 针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在，运用神经网络来实现故障的分类，还结合D-S理论融合了多个传感器的诊断结果，提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault
eh358
- D-S证据理论数据融合，合成孔径雷达（SAR)目标成像仿真，应用小区域方差对比，程序简单。( D-S evidence theory data fusion, Synthetic Aperture Radar (SAR) imaging simulation target, Application of small area variance comparison, simple procedures.)
D-S 多传感器信息融合 matlab实现
- D-S证据理论数据融合算法基础程序，可改(he matlab implementation DS evidence theory code to achieve)