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 …
Large alphabet source coding using independent component analysis
Large alphabet source coding is a basic and well-studied problem in data compression. It
has many applications, such as compression of natural language text, speech, and images …
has many applications, such as compression of natural language text, speech, and images …
Generalized binary independent component analysis
Independent component analysis (ICA) is a statistical method for transforming an observed
multidimensional random vector into components that are as statistically independent as …
multidimensional random vector into components that are as statistically independent as …
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 …
[图书][B] Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing
Signals and Images: Advances and Results in Speech, Estimation, Compression,
Recognition, Filtering, and Processing cohesively combines contributions from field experts …
Recognition, Filtering, and Processing cohesively combines contributions from field experts …
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order
In this work, we present a novel bioinspired framework for performing ICA over finite (Galois)
fields of prime order P. The proposal is based on a state-of-the-art immune-inspired …
fields of prime order P. The proposal is based on a state-of-the-art immune-inspired …
Blind separation of convolutive mixtures over Galois fields
The efforts of Yeredor, Gutch, Gruber and Theis have established a theory of blind source
separation (BSS) over finite fields that can be applied to linear and instantaneous mixing …
separation (BSS) over finite fields that can be applied to linear and instantaneous mixing …
cobICA: A concentration-based, immune-inspired algorithm for ICA over Galois fields
An interesting and recent application of population-based metaheuristics resides in an
unsupervised signal processing task: independent component analysis (ICA) over finite …
unsupervised signal processing task: independent component analysis (ICA) over finite …