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Independent component analysis (ICA) : algorithms, applications and ambiguities"This book embraces a significant vision of ICA that presents innovative theoretical and practical approaches. This book aims to be an updated and advanced source of knowledge to solve real-world ... problems efficiently based on ICA.The suitability of ICA for a given problem of data analysis can be posed from different perspectives considering the physical interpretation of the phenomenon under analysis: (i) Estimation of the probability density of multivariate data without physical meaning; (ii) learning of some bases (usually called activation functions), which are more or less connected to the actual behaviors that are implicit in the physical phenomenon; and (iii) to identify where sources are originated and how they mix before arriving to the sensors to provide a physical explanation of the linear mixture model. In any case, even though the complexity of the problem constrains a physical interpretation, ICA can be used as a general-purpose data mining technique. The chapters that compose this book are written by premier researchers that present enlightening discussions, convincing demonstrations, and guidelines for future directions of research. The contents of this book span biomedical signal processing, dynamic modeling, next generation wireless communication, and sound and ultrasound signal processing. It also includes comprehensive works based on the related ICA techniques known as bounded component analysis (BCA) and non-negative matrix factorization"--Vrsta gradiva - knjiga ; neleposlovje za odrasleZaložništvo in izdelava - New York : Nova Science Publisher's, 2018Jezik - angleškiISBN - 978-1-53613-994-5; 978-1-53613-995-2COBISS.SI-ID - 22340630
Drugi avtorji
Salazar, Addisson |
Vergara, Luis
Teme
Independent component analysis |
podatki |
procesiranje signalov |
obdelava slik |
biomedicinski signali |
analiza podatkov |
razpoznavanje vzorcev |
analiza neodvisnih komponent |
independent component analysis |
ICA |
data analysis |
signal processing |
biomedical signals |
pattern recognition |
bounded component analysis |
non-negative matrix factorization
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Knjižnica/institucija |
Kraj | Akronim | Za izposojo | Druga zaloga |
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Knjižnica tehniških fakultet, Maribor | Maribor | KTFMB |
na dom 1 izv.
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