Contrast properties of entropic criteria for blind source separation

A unifying framework based on information-theoretic inequalities
Editie 1

In the recent years, Independent Component Analysis has become a fundamental tool in signal and data processing, especially in the field of Blind Source Separation (BSS); under mild conditions, independent source signals can be recovered from mixtures of them by maximizing a so-called contrast function. Neither the mixing system nor the original sources are needed for that purpose, justifying the "blind" term. Among the existing BSS methods is the class of approaches maximizing Information-Theoretic Criteria (ITC), that rely on Rényi's entropies, including the well-known Shannon and Hartley entropies. These ITC are maximized via adaptive optimization schemes. Two major issues in this field are the following: i) Are ITC really contrast functions? and ii) As most of the algorithms look in fact for a local maximum point, what about the relevance of these local optima from the BSS point of view? Even though there are some partial answers to these questions in the literature, most of them are based on simulations and conjectures; formal developments are often lacking. This thesis aims at filling this lack as well as providing intuitive justifications, too. The BSS problem is stated in Chapter 1, and viewed under the information theory angle. The two next chapters address specifically the above questions: Chapter 2 discusses the contrast function property of ITC while the possible existence of spurious local maximum points in ITC is the purpose of Chapter 3. Finally, Chapter 4 deals with a range-based criterion, the only “entropy-based” contrast function which is discriminant, i.e. free from spurious local maxima. The interest of this approach is confirmed by testing the proposed technique on various examples, including the MLSP 2006 data analysis competition benchmark; our method outperforms the previously obtained results on large-scale and noisy mixture samples obtained through ill-conditioned mixing matrices.


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Gegevens


Uitgever
Presses universitaires de Louvain
Titel deel
Numéro 138
Auteur
Frédéric Vrins,
Collectie
Thèses de l'École polytechnique de Louvain
Taal
Engels
Categorie uitgever
> Toegepaste wetenschappen
BISAC Subject Heading
TEC000000 TECHNOLOGY & ENGINEERING
Onix Audience Codes
06 Professional and scholarly
CLIL (2013)
3069 TECHNIQUES ET SCIENCES APPLIQUEES
Voor het eerst gepubliceerd
01 januari 2007
Type werk
Thesis
Oorspronkelijke taal
Engels

Livre broché


Publicatie datum
02 maart 2017
ISBN-13
9791096627011
Omvang
Aantal pagina's hoofdinhoud : 128
Code
94732
Formaat
16 x 24 cm
Gewicht
217 grams
Aanbevolen verkoopprijs
12,50 €
ONIX XML
Version 2.1, Version 3

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