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Time-frequency Transforms for Radar Imaging and Signal Analysis.
This text explores more efficient ways to: extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; and detect and track moving targets in the synthetic aperture radar.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood :
Artech House,
2006.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 020 | |a 1580535496 |q (electronic bk.) | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Chen, Victor C. | |
| 245 | 1 | 0 | |a Time-frequency Transforms for Radar Imaging and Signal Analysis. |
| 260 | |a Norwood : |b Artech House, |c 2006. | ||
| 300 | |a 1 online resource (232 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a Contents v; Foreword xi; Preface xiii; Acknowledgments xvii; 1 Introduction 1; 1.1 Electromagnetic Back-Scattering from Targets 6; 1.2 Radar Signal and Noise 9; 1.3 Radar Ambiguity Function and Matched Filter 13; 1.4 Synthetic Aperture Radar Imaging 20; References 22; 2 Time-Frequency Transforms 25; 2.1 Linear Time-Frequency Transforms 26; 2.2 Bilinear Time-Frequency Transforms 36; References 45; 3 Detection and Extraction of Signal in Noise 47; 3.1 Introduction 48; 3.2 Time-Varying Frequency Filtering 48; 3.3 SNR Improvement in the Time-Frequency Domain 51. | |
| 505 | 8 | |a 3.4 CFAR Detection in the Joint Time-Frequency Domain 573.5 Signal Extraction in the Joint Time-Frequency Domain 61; References 63; 4 Time-Frequency Analysis of Radar Range Profiles 65; 4.1 Electromagnetic Phenomenology Embedded in Back-Scattered Data 66; 4.2 Time-Frequency Representation of Range Profiles 70; 4.3 Application of High-Resolution Time-Frequency Techniques to Scattering Data 77; 4.4 Extraction of. | |
| 520 | |a This text explores more efficient ways to: extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; and detect and track moving targets in the synthetic aperture radar. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Imaging systems |x Mathematics. | |
| 650 | 0 | |a Radar |x Mathematics. | |
| 650 | 0 | |a Signal processing |x Mathematics. | |
| 650 | 0 | |a Time-domain analysis. | |
| 650 | 6 | |a Imagerie (Technique) |x Mathématiques. | |
| 650 | 6 | |a Radar |x Mathématiques. | |
| 650 | 6 | |a Traitement du signal |x Mathématiques. | |
| 650 | 6 | |a Analyse temporelle. | |
| 650 | 7 | |a Imaging systems |x Mathematics |2 fast | |
| 650 | 7 | |a Signal processing |x Mathematics |2 fast | |
| 650 | 7 | |a Time-domain analysis |2 fast | |
| 776 | 1 | |z 9781580532884 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=257591 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL257591 | ||
| 994 | |a 92 |b IZTAP | ||