Discrete Wavelet Transforms
The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. Th...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
IntechOpen
2021
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20210420_9789533074825_431 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869526860273025024 |
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| collection | Directory of Open Access Books |
| description | The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Algorithms and Applications reviews the recent progress in discrete wavelet transform algorithms and applications. The book covers a wide range of methods (e.g. lifting, shift invariance, multi-scale analysis) for constructing DWTs. The book chapters are organized into four major parts. Part I describes the progress in hardware implementations of the DWT algorithms. Applications include multitone modulation for ADSL and equalization techniques, a scalable architecture for FPGA-implementation, lifting based algorithm for VLSI implementation, comparison between DWT and FFT based OFDM and modified SPIHT codec. Part II addresses image processing algorithms such as multiresolution approach for edge detection, low bit rate image compression, low complexity implementation of CQF wavelets and compression of multi-component images. Part III focuses watermaking DWT algorithms. Finally, Part IV describes shift invariant DWTs, DC lossless property, DWT based analysis and estimation of colored noise and an application of the wavelet Galerkin method. The chapters of the present book consist of both tutorial and highly advanced material. Therefore, the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. |
| format | Online |
| id | doab-20.500.12854ir-65074 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-650742024-04-14T10:28:14Z Discrete Wavelet Transforms Olkkonen, Hannu Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octave-scale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Algorithms and Applications reviews the recent progress in discrete wavelet transform algorithms and applications. The book covers a wide range of methods (e.g. lifting, shift invariance, multi-scale analysis) for constructing DWTs. The book chapters are organized into four major parts. Part I describes the progress in hardware implementations of the DWT algorithms. Applications include multitone modulation for ADSL and equalization techniques, a scalable architecture for FPGA-implementation, lifting based algorithm for VLSI implementation, comparison between DWT and FFT based OFDM and modified SPIHT codec. Part II addresses image processing algorithms such as multiresolution approach for edge detection, low bit rate image compression, low complexity implementation of CQF wavelets and compression of multi-component images. Part III focuses watermaking DWT algorithms. Finally, Part IV describes shift invariant DWTs, DC lossless property, DWT based analysis and estimation of colored noise and an application of the wavelet Galerkin method. The chapters of the present book consist of both tutorial and highly advanced material. Therefore, the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. 2021-04-20T15:08:36Z 2021-04-20T15:08:36Z 2011 book ONIX_20210420_9789533074825_431 9789533074825 9789535155508 https://directory.doabooks.org/handle/20.500.12854/65074 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/292/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/817 10.5772/817 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533074825 9789535155508 IntechOpen 310 open access |
| spellingShingle | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation Discrete Wavelet Transforms |
| title | Discrete Wavelet Transforms |
| title_full | Discrete Wavelet Transforms |
| title_fullStr | Discrete Wavelet Transforms |
| title_full_unstemmed | Discrete Wavelet Transforms |
| title_short | Discrete Wavelet Transforms |
| title_sort | discrete wavelet transforms |
| topic | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| topic_facet | Computer modelling & simulation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| url | ONIX_20210420_9789533074825_431 |