Published by World Scientific Publishing Comp, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company (edition ), 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company 3/9/2016, 2016
ISBN 10: 9814725773 ISBN 13: 9789814725774
Language: English
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Paperback or Softback. Condition: New. Discrete Fourier and Wavelet Transforms: An Introduction Through Linear Algebra with Applications to Signal Processing. Book.
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Published by World Scientific Publishing Co Pte Ltd, 2016
ISBN 10: 9814725773 ISBN 13: 9789814725774
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Published by World Scientific Publishing Co Pte Ltd, 2016
ISBN 10: 9814725773 ISBN 13: 9789814725774
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Pub Co Inc, 2016
ISBN 10: 9814725773 ISBN 13: 9789814725774
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Co Pte Ltd, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Published by World Scientific Publishing Co Pte Ltd, Singapore, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
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Hardcover. Condition: new. Hardcover. This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices to emphasize selected frequency ranges. It introduces discrete wavelet transforms for digital signals through the lifting method and illustrates through examples and computer explorations how these transforms are used in signal and image processing. Then the general theory of discrete wavelet transforms is developed via the matrix algebra of two-channel filter banks. Finally, wavelet transforms for analog signals are constructed based on filter bank results already presented, and the mathematical framework of multiresolution analysis is examined. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by World Scientific Publishing Company, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by World Scientific Publishing Co Pte Ltd, SG, 2016
ISBN 10: 9814725765 ISBN 13: 9789814725767
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices to emphasize selected frequency ranges. It introduces discrete wavelet transforms for digital signals through the lifting method and illustrates through examples and computer explorations how these transforms are used in signal and image processing. Then the general theory of discrete wavelet transforms is developed via the matrix algebra of two-channel filter banks. Finally, wavelet transforms for analog signals are constructed based on filter bank results already presented, and the mathematical framework of multiresolution analysis is examined.