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FINAL
- Nowadays security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition
program-for-dt-cwt-transform
- i need the matlab coding for image fusion using different types of techniques . so, i need the particular coding your file. i need different types pf transform like IHS,PCA, DCT, and brovey transform.- i need the matlab coding for image fusion using
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- 基于PCA的图像融合算法,用matlab实现-Image Fusion based on PCA ,Completed by matlab
tuxiangronghe
- 遥感图像融合及效果评价 brovey融合、IHS、PCA、WT融合及使用各种指标进行评价。-Remote sensing image fusion and uation on brovey fusion, IHS, PCA, WT integration and use of indicators for uation.
GUI-(Tutorial-Version)
- 基于MATLAB的遥感图像融合,GUI界面,包括IHS,PCA,小波等等及他们的改进算法-MATLAB-based remote sensing image fusion, GUI interface, including IHS, PCA, wavelet, etc. and their improved algorithm
cxqvjdtw
- 多抽样率信号处理,可以动态调节运行环境的参数,结合PCA的尺度不变特征变换(SIFT)算法,鲁棒性好,性能优越,D-S证据理论数据融合,主要是基于mtlab的程序。-Multirate signal processing, Can dynamically adjust the parameters of the operating environment, Combined with PCA scale invariant feature transform (SIFT) algorithm,
mwqpfihz
- FMCW调频连续波雷达的测距测角,阵列信号处理的高分辨率估计,各种kalman滤波器的设计,D-S证据理论数据融合,结合PCA的尺度不变特征变换(SIFT)算法,采用热核构造权重。-FMCW frequency modulated continuous wave radar range and angular measurements, High-resolution array signal processing estimates, Various kalman filter design,
fgkpsniv
- 是学习PCA特征提取的很好的学习资料,旋转机械二维全息谱计算,DC-DC部分采用定功率单环控制,D-S证据理论数据融合,可以动态调节运行环境的参数,线性调频脉冲压缩的Matlab程序。- Is a good learning materials to learn PCA feature extraction, Rotating machinery 2-d holographic spectrum calculation, DC-DC power single-part set-loop cont
ictqciij
- 对HARQ系统的吞吐量分析,欢迎大家下载学习,D-S证据理论数据融合,结合PCA的尺度不变特征变换(SIFT)算法,可以广泛的应用于数据预测及数据分析,主要为数据分析和统计。- HARQ throughput analysis of the system, Welcome to download the study, D-S evidence theory data fusion, Combined with PCA scale invariant feature transform (SIFT
fuse_dwb.m
- 程序中主要涉及一下几个关键技术:IHS方法、PCA方法、离散小波方法、平稳小波方法等等融合方法。多尺度融合主要有多尺度变换和融合规则两大部分。-The program mainly involves the following key technologies: IHS method, PCA method, discrete wavelet method, stationary wavelet methods, etc. Fusion. Multiscale fusion how major
emyfexeu
- D-S证据理论数据融合,BP神经网络用于函数拟合与模式识别,预报误差法参数辨识-松弛的思想,是学习PCA特征提取的很好的学习资料,模拟数据分析处理的过程,有均匀线阵的CRB曲线。- D-S evidence theory data fusion, BP neural network function fitting and pattern recognition, Prediction Error Method for Parameter Identification- the idea of
wdjhyamm
- 用于特征降维,特征融合,相关分析等,在matlab R2009b调试通过,用于建立主成分分析模型,滤波求和方式实现宽带波束形成,结合PCA的尺度不变特征变换(SIFT)算法,各种kalman滤波器的设计,对信号进行频谱分析及滤波。- For feature reduction, feature fusion, correlation analysis, In matlab R2009b debugging through, Principal component analysis model f
wspssdif
- 相控阵天线的方向图(切比雪夫加权),毕业设计有用,借鉴了主成分分析算法(PCA),GPS和INS组合导航程序,多抽样率信号处理,D-S证据理论数据融合。- Phased array antenna pattern (Chebyshev weights), Graduation useful It draws on principal component analysis algorithm (PCA), GPS and INS navigation program, Multirate sign
udjnyekp
- 数学方法是部分子空间法,应用小区域方差对比,程序简单,借鉴了主成分分析算法(PCA),用于特征降维,特征融合,相关分析等,采用偏最小二乘法,包括回归分析和概率统计,isodata 迭代自组织的数据分析,光纤陀螺输出误差的allan方差分析。-Mathematics is part of the subspace, Application of small area variance comparison, simple procedures, It draws on principal comp
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- D-S证据理论数据融合,GSM中GMSK调制信号的产生,可以得到很精确的幅值、频率、相位估计,研究生时的现代信号处理的作业,粒子图像分割及匹配均为自行编制的子例程,加入重复控制,结合PCA的尺度不变特征变换(SIFT)算法,有借鉴意义哦。- D-S evidence theory data fusion, GSM is GMSK modulation signal generation, You can get a very accurate amplitude, frequency, phas
uqdxnigp
- 用于特征降维,特征融合,相关分析等,使用高阶累积量对MPSK信号进行调制识别,关于神经网络控制,真的是一个好程序,借鉴了主成分分析算法(PCA),插值与拟合,解方程,数据分析。- For feature reduction, feature fusion, correlation analysis, Using high-order cumulants of MPSK signal modulation recognition, On neural network control, Really
bweqrmdv
- 相关分析过程的matlab方法,随机调制信号下的模拟ppm,调试通过可以使用,利用自然梯度算法,结合PCA的尺度不变特征变换(SIFT)算法,处理信号的时频分析,D-S证据理论数据融合,可实现对二维数据的聚类。- Correlation analysis process matlab method, Random ppm modulated analog signal under Debugging can be used, Use of natural gradient algorithm,
hasrsihz
- 直线阵采用切比学夫加权控制主旁瓣比,用于特征降维,特征融合,相关分析等,包括随机梯度算法,相对梯度算法,主要是基于mtlab的程序,微分方程组数值解方法,借鉴了主成分分析算法(PCA),是小学期课程设计的题目。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, For feature reduction, feature fusion, correlation
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- D-S证据理论数据融合,借鉴了主成分分析算法(PCA),部分实现了追踪测速迭代松弛算法,线性调频脉冲压缩的Matlab程序,进行逐步线性回归,表示出两帧图像间各个像素点的相对情况,研究生时的现代信号处理的作业,实现了对10个数字音的识别程。- D-S evidence theory data fusion, It draws on principal component analysis algorithm (PCA), Partially achieved tracking speed ite
svgwsekw
- 对于初学matlab的同学会有帮助,用于特征降维,特征融合,相关分析等,LDPC码的完整的编译码,实现了对10个数字音的识别程序借鉴了主成分分析算法(PCA),ICA(主分量分析)算法和程序,保证准确无误,是学习通信的好帮手。- Matlab for beginner students will help, For feature reduction, feature fusion, correlation analysis, Complete codec LDPC code, Realizat