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Independent component analysis (ICA) algorithms, applications and ambiguities / editors: Addisson Salazar and Luis Vergara.
| Other author | Salazar, Addisson. |
| Other author | Vergara, Luis, 1956- |
| Format | Electronic |
| Publication Info | Hauppauge, New York : Nova Science Publisher's, Inc., [2017] |
| Description | 1 online resource. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Computer science, technology and applications |
| Contents | Independent component analysis / Addisson Salazar, Gonzalo Safont and Luis Vergara -- Applications of ICA to biomedical signals / José J. Rieta and Raúl Alcaraz -- Performance assessment in biomedical applications / Francisco Castells, Luis Omar Sarmiento and José Millet -- Independent component analysis and infrared spectroscopy for the investigation of the structural and molecular characteristics of marine mollusc shells / Mauro Mecozzi, Paolo Tomassetti, Danilo Vani, Marco Pietroletti, Fabrizio Novelli and Yulia B. Monakhova -- Dynamic modeling using independent component analysis / Gonzalo Safont, Addisson Salazar and Luis Vergara -- Bounded component analysis: theory and applications in next generation wireless communications / Pablo Aguilera -- Non-negative matrix factorization (NMF) applied to monaural audio signal processing / J.J. Carabias-Orti, F.J. Canadas-Quesada, P. Vera-Candeas and N. Ruiz-Reyes. |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Independent component analysis (ICA) Hauppauge, New York : Nova Science Publisher's, Inc., [2017] 9781536139945 |
| Genre/form | Electronic books. |
| LCCN | 2018044968 |
| ISBN | 9781536139952 () |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |