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Published by Morgan & Claypool Publishers, 2011
ISBN 10: 1608458016ISBN 13: 9781608458011
Seller: suffolkbooks, Center moriches, NY, U.S.A.
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Published by Morgan & Claypool Publishers, 2012
ISBN 10: 1608458016ISBN 13: 9781608458011
Seller: Ammareal, Morangis, France
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Softcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2012. Ammareal reverse jusqu'à 15% du prix net de ce livre à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2012. Ammareal gives back up to 15% of this book's net price to charity organizations.
Published by Morgan & Claypool Publishers, 2011
ISBN 10: 1608458016ISBN 13: 9781608458011
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
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Condition: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting.
Published by Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Published by Springer, 2011
ISBN 10: 303100390XISBN 13: 9783031003905
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condition: new.
Published by Morgan & Claypool Publishers, 2011
ISBN 10: 1608458016ISBN 13: 9781608458011
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: New. Book is in NEW condition.
Published by Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New.
Published by Springer, 2011
ISBN 10: 303100390XISBN 13: 9783031003905
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New.
Published by Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Morgan & Claypool Publishers, 2014
ISBN 10: 162705359XISBN 13: 9781627053594
Seller: suffolkbooks, Center moriches, NY, U.S.A.
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Published by Springer 2014-04, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: Chiron Media, Wallingford, United Kingdom
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Published by Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Springer International Publishing Dez 2011, 2011
ISBN 10: 303100390XISBN 13: 9783031003905
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The MPEG-1 Layer III (MP3) algorithm is one of the most successful audio formats for consumer audio storage and for transfer and playback of music on digital audio players. The MP3 compression standard along with the AAC (Advanced Audio Coding) algorithm are associated with the most successful music players of the last decade. This book describes the fundamentals and the MATLAB implementation details of the MP3 algorithm. Several of the tedious processes in MP3 are supported by demonstrations using MATLAB software. The book presents the theoretical concepts and algorithms used in the MP3 standard. The implementation details and simulations with MATLAB complement the theoretical principles. The extensive list of references enables the reader to perform a more detailed study on specific aspects of the algorithm and gain exposure to advancements in perceptual coding. Table of Contents: Introduction / Analysis Subband Filter Bank / Psychoacoustic Model II / MDCT / Bit Allocation, Quantization and Coding / Decoder 132 pp. Englisch.
Published by Springer International Publishing Apr 2014, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations. 120 pp. Englisch.
Published by Springer International Publishing, 2011
ISBN 10: 303100390XISBN 13: 9783031003905
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The MPEG-1 Layer III (MP3) algorithm is one of the most successful audio formats for consumer audio storage and for transfer and playback of music on digital audio players. The MP3 compression standard along with the AAC (Advanced Audio Coding) algorithm are associated with the most successful music players of the last decade. This book describes the fundamentals and the MATLAB implementation details of the MP3 algorithm. Several of the tedious processes in MP3 are supported by demonstrations using MATLAB software. The book presents the theoretical concepts and algorithms used in the MP3 standard. The implementation details and simulations with MATLAB complement the theoretical principles. The extensive list of references enables the reader to perform a more detailed study on specific aspects of the algorithm and gain exposure to advancements in perceptual coding. Table of Contents: Introduction / Analysis Subband Filter Bank / Psychoacoustic Model II / MDCT / Bit Allocation, Quantization and Coding / Decoder.
Published by Springer International Publishing, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations.
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2011
ISBN 10: 303100390XISBN 13: 9783031003905
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The MPEG-1 Layer III (MP3) algorithm is one of the most successful audio formats for consumer audio storage and for transfer and playback of music on digital audio players. The MP3 compression standard along with the AAC (Advanced Audio Coding) algorithm ar.
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
ISBN 10: 3031011228ISBN 13: 9783031011221
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual co.