搜索结果: 1-14 共查到“independent component analysis”相关记录14条 . 查询时间(0.08 秒)
Non-profiled Mask Recovery: the impact of Independent Component Analysis
Side Channel Analysis Masking Independent Component Analysis
2018/11/13
As one of the most prevalent SCA countermeasures, masking schemes are designed to defeat a broad range of side channel attacks. An attack vector that is suitable for low-order masking schemes is to tr...
On the Use of Independent Component Analysis to Denoise Side-Channel Measurements
independent component analysis side-channel analysis preprocessing
2018/3/6
Independent Component Analysis (ICA) is a powerful technique for blind source separation. It has been successfully applied to signal processing problems, such as feature extraction and noise reduction...
IMAGE FUSION BASED ON EXTENSIONS OF INDEPENDENT COMPONENT ANALYSIS
image processing integration image understanding fusion land cover
2015/12/31
Remote sensing image fusion can effectively improve the accuracy of image classification. This paper proposes an image fusion algorithm based on extensions of independent component analysis (ICA) and ...
SEASONAL VEGETATION CHANGE DETECTION USING INDEPENDENT COMPONENT ANALYSIS
Vegetation analysis PCA Independent component analysis Neural network Change detection
2015/12/31
The seasonal analysis of vegetation can be considered as looking for fundamental redundant information and detecting, at the same time, the natural changes of the vegetative cover undergone by the obs...
STUDY ON INDEPENDENT COMPONENT ANALYSIS’APPLICATION IN CLASSIFICATION AND CHANGE DETECTION OF MULTISPECTRAL IMAGES
Image Classification Change Detection Independent Component Analysis Principal Component Analysis
2015/12/31
Image classification and change detection is a hot topic in remote sensing. This paper sought to apply the method of independent component analysis (ICA), which develops from blind source separation, ...
Independent component analysis via nonparametric maximum likelihood estimation
Blind source separation density estimation independent component analysis log-concave projection
2012/6/19
Independent Component Analysis (ICA) models are very popular semiparametric models in which we observe independent copies of a random vector $X = AS$, where $A$ is a non-singular matrix and $S$ has in...
East-west mantle geochemical hemispheres constrained from Independent Component Analysis of basalt isotopic compositions
mantle isotope domain basalt supercontinent
2017/4/11
In order to decipher the mantle geochemical heterogeneity that reflects material differentiation and circulation within
the Earth, we examined mid-ocean ridge basalts (MORB), ocean island basalts (OI...
Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package
Computation (stat.CO) Medical Physics (physics.med-ph) Applications (stat.AP)
2010/12/17
For statistical analysis of functional Magnetic Resonance Imaging (fMRI) data sets, we propose a data-driven approach based on Independent Component Analysis (ICA) implemented in a new version of the ...
Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size
Atrial fibrillation (AF) blind source separation (BSS) independent component analysis (ICA) iterative optimization kurtosis
2010/3/10
Independent component analysis (ICA) aims at decomposing an observed random vector into
statistically independent variables. Deflation-based implementations, such as the popular one-unit FastICA algo...
Characterization of Strombolian events by using independent component analysis
Characterization of Strombolian events independent component analysis
2009/11/11
We apply Independent Component Analysis (ICA) to seismic signals recorded at Stromboli volcano. Firstly, we show how ICA works considering synthetic signals, which are generated by dynamical systems. ...
A Feature-Selective Independent Component Analysis Method for Functional MRI
Feature-Selective Independent Component Functional MRI
2009/9/7
In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brai...
A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier
Computer-Aided Diagnosis System Breast Cancer Independent Component Analysis Fuzzy Classifier
2009/9/4
Screening mammograms is a repetitive task that causes fatigue and eye strain since for every thousand cases analyzed by a radiologist, only 3–4 are cancerous and thus an abnormality may be overlooked....
Polarization Demultiplexing Based on Independent Component Analysis in Optical Coherent Receivers
Polarization Demultiplexing Independent Component Analysis Optical Coherent Receivers
2015/7/30
A novel independent component analysis based algorithm is proposed for polarization demultiplexing. It solves the converge-to-same-source problem of constant modulus algorithm while possesses similar ...
Efficient independent component analysis
Independent component analysis semiparametric models efficientscore function asymptotically efficient generalized M-estimator
2010/4/29
Independent component analysis (ICA) has been widely used for
blind source separation in many fields such as brain imaging analysis,
signal processing and telecommunication. Many statistical techniq...