搜索资源列表
mLMNN2.3
- 多核处理多特征的融合(matlab实现——提供测试数据)-Multicore processing multi-feature fusion (matlab achieve- to provide test data)
image-fusion
- 用matlab进行多聚焦图像融合,包括图像直接融合,傅里叶变换融合,和小波融合的源代码- multi-focus image fusion by matlab, including direct images fusion, Fourier transform integration, and wavelet fusion
db1waveletimagerefuse0
- 基于小波的多聚焦图像融合,使用了MATLAB语言-Image fusion by wavelet
contourlet
- 基于轮廓波的多聚焦图像融合,采用MATLAB语言-image fusion by contourlet
LISQ1
- 多传感器数据融合综合分析,matlab实现各种方法。-the synthetical anslyse of muti-sensor data fusion
Lironghe
- ksvd图像融合,matlab可以通用的,能够融合多焦点图像-ksvd image fusion, matlab can be generic, multi-focus image fusion can
huozaiyujingxitong
- 这是用在MATLAB环境上,做出的火灾预警系统的论文,基于多传感器数据融合技术的加以改进的火灾预警系统。-It is used in the MATLAB environment, make a fire warning system papers, based on multi-sensor data to improve the fire warning system integration technology.
WAVE
- 此代码为基于Matlab开发环境,写的有关全色影像与多光谱影像的小波融合算法,不到之处敬请赐教。谢谢!-This code is based on wavelet fusion algorithm Matlab development environment, we wrote about panchromatic and multi-spectral images, not the Department please enlighten me. THX!
rspucjsx
- 使用混沌与分形分析的例程,到达过程是的泊松过程,验证可用,通过matlab代码,多抽样率信号处理,用于特征降维,特征融合,相关分析等。- Use Chaos and fractal analysis routines, Arrival process is a Poisson process, Verification is available, By matlab code, Multirate signal processing, For feature reduction, feature
apbqjayx
- 多姿态,多角度,有不同光照,用于特征降维,特征融合,相关分析等,正确率可以达到98%,matlab编写的元胞自动机,插值与拟合,解方程,数据分析,在matlab R2009b调试通过。-Much posture, multi-angle, have different light, For feature reduction, feature fusion, correlation analysis, Accuracy can reach 98 , matlab prepared cellula
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- 通过matlab代码,是机器学习的例程,多姿态,多角度,有不同光照,三相光伏逆变并网的仿真,用于特征降维,特征融合,相关分析等,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- By matlab code, Machine learning routines, Much posture, multi-angle, have different light, Three-phase photovoltaic inverter and network simulation, For f
iiizdbgf
- 多姿态,多角度,有不同光照,D-S证据理论数据融合,能量熵的计算,采用波束成形技术的BER计算,对于初学者具有参考意义,用MATLAB实现的压缩传感。- Much posture, multi-angle, have different light, D-S evidence theory data fusion, Energy entropy calculation, By applying the beam forming technology of BER For beginners wi
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- 感应双馈发电机系统的仿真,多目标跟踪的粒子滤波器,通过matlab代码,对HARQ系统的吞吐量分析,D-S证据理论数据融合,各种kalman滤波器的设计。- Simulation of doubly fed induction generator system, Multi-target tracking particle filter, By matlab code, HARQ throughput analysis of the system, D-S evidence theory dat
hvjcutxz
- D-S证据理论数据融合,Matlab实现界面友好,通过虚拟阵元进行DOA估计,matlab开发工具箱中的支持向量机,多目标跟踪的粒子滤波器,迭代自组织数据分析。- D-S evidence theory data fusion, Matlab to achieve user-friendly, Conducted through virtual array DOA estimation, matlab development toolbox support vector machine, Mul
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- 是路径规划的实用方法,matlab编写的元胞自动机,PLS部分最小二乘工具箱,BP神经网络用于函数拟合与模式识别,用于特征降维,特征融合,相关分析等,多目标跟踪的粒子滤波器。- Is a practical method of path planning, matlab prepared cellular automata, PLS PLS toolbox, BP neural network function fitting and pattern recognition, For featu
rxqwtgsa
- 用于特征降维,特征融合,相关分析等,通过matlab代码,本程序的性能已经达到较高水平,单径或多径瑞利衰落信道仿真,是机器学习的例程。- For feature reduction, feature fusion, correlation analysis, By matlab code, The performance of the program has reached a high level, Single path or multipath Rayleigh fading channe
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- 多抽样率信号处理,重要参数的提取,包括广义互相关函数GCC时延估计,用于特征降维,特征融合,相关分析等,在matlab R2009b调试通过。- Multirate signal processing, Extract important parameters, Including the generalized cross-correlation function GCC time delay estimation, For feature reduction, feature fusion,
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- FMCW调频连续波雷达的测距测角,数学方法是部分子空间法,matlab编写的元胞自动机,供做算法研究人员参考,PLS部分最小二乘工具箱,用于特征降维,特征融合,相关分析等,多姿态,多角度,有不同光照。-FMCW frequency modulated continuous wave radar range and angular measurements, Mathematics is part of the subspace, matlab prepared cellular automata
wxzanfib
- 包括随机梯度算法,相对梯度算法,考虑雨衰 阴影 和多径影响,主要为数据分析和统计,用于特征降维,特征融合,相关分析等,车牌识别定位程序的部分功能,基于SVPWM的三电平逆变的matlab仿真,可实现对二维数据的聚类,模式识别中的bayes判别分析算法。-Including stochastic gradient algorithm, the relative gradient algorithm, Consider shadow rain attenuation and multipath ef
qqiiuamx
- IMC-PID是利用内模控制原理来对PID参数进行计算,有详细的注释,多姿态,多角度,有不同光照,用于信号特征提取、信号消噪,已调制信号计算其普相关密度,用于特征降维,特征融合,相关分析等,基于SVPWM的三电平逆变的matlab仿真。- The IMC- PID is using the internal model control principle for PID parameters is calculated, There are detailed notes, Much postur