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Item Details
| Title:
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LOCAL APPROXIMATION TECHNIQUES IN SIGNAL AND IMAGE PROCESSING
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| By: |
Vladmir Katkovnik, Karen O. Egiazarian, Jaakko T. Astola |
| Format: |
Hardback |
| List price:
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£111.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
0819460923 |
| ISBN 13: |
9780819460929 |
| Publisher: |
SPIE PRESS |
| Pub. date: |
2 November, 2006 |
| Pages: |
576 |
| Description: |
Deals with a class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. This book is devoted to an original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule. |
| Synopsis: |
This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule. |
| Illustrations: |
Illustrations |
| Publication: |
US |
| Imprint: |
SPIE Press |
| Returns: |
Returnable |
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