Independent component analysis, A new concept?

Independent component analysis, A new concept?

The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that minimizes the statistical dependence between its components. In order to define suitable search criteria, the expansion of mutual information is utilized as a function of cumulants of increasing orders. An efficient algorithm is proposed, which allows the computation of the ICA of ...

​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...

Block Component Analysis, a New Concept for Blind Source Separation

WMicaD: A New Digital Watermarking Technique Using Independent Component Analysis

This paper proposes a new two-mark watermarking scheme that is based on the independent component analysis (ICA) technique. The first watermark is used for ownership verification while the second one is used as the copy ID of the image. Using a smallsized support image, the extraction is carried out on size-reduced level, bringing computational advantage to our method. The new method, undergoin...

A New Component Concept for Fault Trees

The decomposition of complex systems into manageable parts is an essential principle when dealing with complex technical systems. However, many safety and reliability modelling techniques do not support hierarchical decomposition in the desired way. Fault Tree Analysis (FTA) offers decomposition into modules, a breakdown with regard to the hierarchy of failure influences rather than to the syst...