Local approximation techniques in signal and image processing /
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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Bellingham, Wash. (1000 20th St. Bellingham WA 98225-6705 USA) :
SPIE,
2006.
|
| Series: | SPIE monograph ;
PM157. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 applications. 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. |
|---|---|
| Item Description: | "SPIE digital library." Electronic resource. |
| Physical Description: | 1 online resource (xvii, 553 pages) : illustrations. Also available in print version. |
| Format: | Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader. |
| Bibliography: | Includes bibliographical references (pages 535-546) and index. |
| ISBN: | 9780819478337 (electronic) |
| DOI: | 10.1117/3.660178 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |