Independent component analysis by wavelets
نویسندگان
چکیده
منابع مشابه
Rank based Least-squares Independent Component Analysis
In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...
متن کاملNonlinear Independent Component Analysis By
Independent component analysis is often approached from an information theoretic perspective employing specific sample estimates for the mutual information between the separated outputs. These approximations involve the nonparametric estimation of signal entropies. The common approach involves the estimation of these quantities and adaptation based on these criteria. In contrast, in this paper,...
متن کاملIndependent Component Analysis by Minimization
Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible. In this paper, the linear version of the ICA problem is approached from an information-theoretic viewpoint, using Comon's framework of minimizing mutual information of the components. Using max...
متن کاملFace recognition by independent component analysis
A number of current face recognition algorithms use face representations found by unsupervised statistical methods. Typically these methods find a set of basis images and represent faces as a linear combination of those images. Principal component analysis (PCA) is a popular example of such methods. The basis images found by PCA depend only on pairwise relationships between pixels in the image ...
متن کاملElectrogastrographic Signals Analyzed by Independent Component Analysis
Electrical activity of the stomach pacemaker structure, the network of interstitial cells of Cajal, can be noninvasively recorded as an electrogastrogram (EGG). Power of the EGG signal is, however, much weaker in comparison with the other biological signals (e.g. ECG, respiratory signal). EGG signal is therefore usually contaminated by other biological signals and artifacts, which are difficult...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TEST
سال: 2007
ISSN: 1133-0686,1863-8260
DOI: 10.1007/s11749-007-0073-7