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dc.contributor.editorAl - Asmari, Awad Kh.
dc.date.accessioned2021-04-20T15:41:57Z
dc.date.available2021-04-20T15:41:57Z
dc.date.issued2013
dc.identifierONIX_20210420_9789535109402_1747
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/66389
dc.description.abstractDiscrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functional analysis. Its key advantage over more traditional transforms, such as the Fourier transform, lies in its ability to offer temporal resolution, i.e. it captures both frequency and location (or time) information. This book presents a succinct compendium of some of the more recent variants of DWTs and their use to come up with solutions to an array of problems transcending the traditional application areas of image/video processing and security to the relatively newer areas of medicine, artificial intelligence, power systems and telecommunications. The first of the two sections of this book contains three chapters devoted to traditional applications of DWTs in digital image compression, copyright protection and video resolution enhancement. The second section, comprising of five chapters, is devoted to variants of the DWT and their applications in humanoid-robot vision systems; modeling and simulation recognition of physiological and behavioral traits through human gait and facial images; assessment of agitation and sedation in intensive care patients; maximization of power control systems; and, finally, in demodulation of FM data in free-space optical control systems.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYM Computer modelling & simulationen_US
dc.subject.otherComputer modelling & simulation
dc.titleDiscrete Wavelet Transforms
dc.title.alternativeA Compendium of New Approaches and Recent Applications
dc.typebook
oapen.identifier.doi10.5772/3424
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535109402
oapen.relation.isbn9789535157182
oapen.imprintIntechOpen
oapen.pages234


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