Generalized independent component analysis over finite alphabets
Independent component analysis (ICA) is a statistical method for transforming an observable
multi-dimensional random vector into components that are as statistically independent as …
multi-dimensional random vector into components that are as statistically independent as …
Linear independent component analysis over finite fields: Algorithms and bounds
Independent component analysis (ICA) is a statistical tool that decomposes an observed
random vector into components that are as statistically independent as possible. ICA over …
random vector into components that are as statistically independent as possible. ICA over …
Binary independent component analysis: Theory, bounds and algorithms
Independent Component Analysis (ICA) is a statistical method for transforming an
observable multi-dimensional random vector into components that are as statistically …
observable multi-dimensional random vector into components that are as statistically …
Simulated annealing for independent component analysis over galois fields
Independent Component Analysis over finite fields is an unsupervised signal processing
problem that poses a challenging combinatorial optimization task. In this context, a solution …
problem that poses a challenging combinatorial optimization task. In this context, a solution …
Phd dissertation: Generalized independent components analysis over finite alphabets
A Painsky - arXiv preprint arXiv:1809.05043, 2018 - arxiv.org
Independent component analysis (ICA) is a statistical method for transforming an observable
multi-dimensional random vector into components that are as statistically independent as …
multi-dimensional random vector into components that are as statistically independent as …
Blind source separation: Fundamentals and perspectives on galois fields and sparse signals
The problem of blind source separation (BSS) has been intensively studied by the signal
processing community. The first solutions to deal with BSS were proposed in the 1980's and …
processing community. The first solutions to deal with BSS were proposed in the 1980's and …
[PDF][PDF] PhD Thesis: Generalized Independent Components Analysis Over Finite Alphabets
A Painsky - 2016 - academia.edu
Independent component analysis (ICA) is a statistical method for transforming an observable
multi-dimensional random vector into components that are as statistically independent as …
multi-dimensional random vector into components that are as statistically independent as …
A study on independent component analysis over galois fields
SM Rezaee - 2016 - icts.unb.br
Nas últimas décadas, o problema de separação cega de fontes (BSS, do inglês Blind
Source Separation)–que trata de estimar um conjunto desconhecido de fontes de sinais a …
Source Separation)–que trata de estimar um conjunto desconhecido de fontes de sinais a …