Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131027
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dc.contributor.authorJuuso T. Olkkonen
dc.date.accessioned2017-04-30T13:31:34Z-
dc.date.available2017-04-30T13:31:34Z-
dc.date.issued2011
dc.identifier.isbn978-953-307-185-5
dc.identifier.urihttp://hdl.handle.net/123456789/131027-
dc.description.abstractDiscrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and image processing in several areas in research and industry. As DWT provides both frequency and location information of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications. Each book chapter is a separate entity providing examples both the theory and applications. The book comprises of tutorial and advanced material. It is intended to be a reference text for graduate students and researchers to obtain in-depth knowledge in specific applications.
dc.language.isoeng
dc.publisherInTech
dc.relation.isbasedon10.5772/649
dc.relation.urihttp://www.intechopen.com/books/discrete-wavelet-transforms-theory-and-applications
dc.rights.uriCC BY-NC-SA (姓名標示-非商業性-相同方式分享)
dc.sourceInTech
dc.subject.classificationComputer and Information Science
dc.subject.classification Numerical Analysis and Scientific Computing
dc.titleDiscrete Wavelet Transforms - Theory and Applications
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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