Articles liés à Signal and Image Multiresolution Analysis
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Multiresolution analysis using the wavelet transform hasreceived considerable attention in recent years by researchers invarious fields. It is a powerful tool for efficiently representingsignals and images at multiple levels of detail with many inherentadvantages, including compression, level–of–detail display,progressive transmission, level–of–detail editing, filtering,modeling, fractals and multifractals, etc.
This book aims to provide a simple formalization and new clarity onmultiresolution analysis, rendering accessible obscure techniques,and merging, unifying or completing the technique with encoding,feature extraction, compressive sensing, multifractal analysis andtexture analysis. It is aimed at industrial engineers, medicalresearchers, university lab attendants, lecturer–researchers andresearchers from various specializations. It is also intended tocontribute to the studies of graduate students in engineering,particularly in the fields of medical imaging, intelligentinstrumentation, telecommunications, and signal and imageprocessing.
Given the diversity of the problems posed and addressed, this bookpaves the way for the development of new research themes, such asbrain computer interface (BCI), compressive sensing,functional magnetic resonance imaging (fMRI), tissuecharacterization (bones, skin, etc.) and the analysis of complexphenomena in general. Throughout the chapters, informativeillustrations assist the uninitiated reader in betterconceptualizing certain concepts, taking the form of numerousfigures and recent applications in biomedical engineering,communication, multimedia, finance, etc.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurISTE Ltd and John Wiley & Sons Inc
- Date d'édition2012
- ISBN 10 1848212577
- ISBN 13 9781848212572
- ReliureRelié
- Langueanglais
- Nombre de pages320
- ÉditeurOuahabi Abdeldjalil
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Hardcover. Etat : new. Hardcover. Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent advantages, including compression, level-of-detail display, progressive transmission, level-of-detail editing, filtering, modeling, fractals and multifractals, etc. This book aims to provide a simple formalization and new clarity on multiresolution analysis, rendering accessible obscure techniques, and merging, unifying or completing the technique with encoding, feature extraction, compressive sensing, multifractal analysis and texture analysis. It is aimed at industrial engineers, medical researchers, university lab attendants, lecturer-researchers and researchers from various specializations. It is also intended to contribute to the studies of graduate students in engineering, particularly in the fields of medical imaging, intelligent instrumentation, telecommunications, and signal and image processing. Given the diversity of the problems posed and addressed, this book paves the way for the development of new research themes, such as braincomputer interface (BCI), compressive sensing, functional magnetic resonance imaging (fMRI), tissue characterization (bones, skin, etc.) and the analysis of complex phenomena in general. Throughout the chapters, informative illustrations assist the uninitiated reader in better conceptualizing certain concepts, taking the form of numerous figures and recent applications in biomedical engineering, communication, multimedia, finance, etc. Owing to its ability to represent efficiently signals and images at multiple levels of detail, multiresolution analysis using the wavelet transform has received considerable attention in recent years. This book provides engineers and researchers with a simple formalization and new clarity on multiresolution analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781848212572
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