A wavelet tour of signal processing: the Sparse way
The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transf...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam Boston
Elsevier /Academic Press
© 2009
|
| Edition: | Sparse ed |
| Subjects: | |
| Online Access: | FLA01 Volltext |
| Summary: | The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: Balances presentation of the mathematics with applications to signal processing. Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox. Companion website for instructors and selected solutions and code available for students. New in this edition: Sparse signal representations in dictionaries. Compressive sensing, super-resolution and source separation. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Time-frequency audio processing and denoising. Image compression with JPEG-2000. New and updated exercises. A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R & D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering |
| Item Description: | Includes bibliographical references (pages 765-793) and index |
| Physical Description: | 1 online resource (xx, 805 pages) illustrations |
| ISBN: | 9780123743701 0123743702 |
Staff View
MARC
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| 520 | |a The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: Balances presentation of the mathematics with applications to signal processing. Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox. Companion website for instructors and selected solutions and code available for students. New in this edition: Sparse signal representations in dictionaries. Compressive sensing, super-resolution and source separation. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Time-frequency audio processing and denoising. Image compression with JPEG-2000. New and updated exercises. A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R & D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering | ||
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| dewey-ones | 621 - Applied physics |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | Sparse ed |
| format | Electronic eBook |
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| id | DE-604.BV046125091 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:51Z |
| institution | BVB |
| isbn | 9780123743701 0123743702 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031505545 |
| oclc_num | 318353788 |
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| physical | 1 online resource (xx, 805 pages) illustrations |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Elsevier /Academic Press |
| record_format | marc |
| spelling | Mallat, S. G. Verfasser aut A wavelet tour of signal processing the Sparse way Stephane Mallat Sparse ed Amsterdam Boston Elsevier /Academic Press © 2009 1 online resource (xx, 805 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 765-793) and index The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: Balances presentation of the mathematics with applications to signal processing. Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox. Companion website for instructors and selected solutions and code available for students. New in this edition: Sparse signal representations in dictionaries. Compressive sensing, super-resolution and source separation. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Time-frequency audio processing and denoising. Image compression with JPEG-2000. New and updated exercises. A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R & D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering Signal processing / Mathematics fast Wavelets (Mathematics) fast Signal processing Mathematics Wavelets (Mathematics) Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Wavelet (DE-588)4215427-3 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 s Wavelet (DE-588)4215427-3 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780123743701 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Mallat, S. G. A wavelet tour of signal processing the Sparse way Signal processing / Mathematics fast Wavelets (Mathematics) fast Signal processing Mathematics Wavelets (Mathematics) Signalverarbeitung (DE-588)4054947-1 gnd Wavelet (DE-588)4215427-3 gnd |
| subject_GND | (DE-588)4054947-1 (DE-588)4215427-3 |
| title | A wavelet tour of signal processing the Sparse way |
| title_auth | A wavelet tour of signal processing the Sparse way |
| title_exact_search | A wavelet tour of signal processing the Sparse way |
| title_full | A wavelet tour of signal processing the Sparse way Stephane Mallat |
| title_fullStr | A wavelet tour of signal processing the Sparse way Stephane Mallat |
| title_full_unstemmed | A wavelet tour of signal processing the Sparse way Stephane Mallat |
| title_short | A wavelet tour of signal processing |
| title_sort | a wavelet tour of signal processing the sparse way |
| title_sub | the Sparse way |
| topic | Signal processing / Mathematics fast Wavelets (Mathematics) fast Signal processing Mathematics Wavelets (Mathematics) Signalverarbeitung (DE-588)4054947-1 gnd Wavelet (DE-588)4215427-3 gnd |
| topic_facet | Signal processing / Mathematics Wavelets (Mathematics) Signal processing Mathematics Signalverarbeitung Wavelet |
| url | http://www.sciencedirect.com/science/book/9780123743701 |
| work_keys_str_mv | AT mallatsg awavelettourofsignalprocessingthesparseway |