Detection and estimation for communication and radar systems:
Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2013
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (x, 322 pages) |
| ISBN: | 9781139015615 |
| DOI: | 10.1017/CBO9781139015615 |
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| 505 | 8 | |a Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design | |
| 520 | |a Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers | ||
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Datensatz im Suchindex
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| author | Yao, Kung |
| author_facet | Yao, Kung |
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| contents | Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design |
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| dewey-full | 621.382/2 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382/2 |
| dewey-search | 621.382/2 |
| dewey-sort | 3621.382 12 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/CBO9781139015615 |
| format | Electronic eBook |
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| isbn | 9781139015615 |
| language | English |
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| spelling | Yao, Kung Verfasser aut Detection and estimation for communication and radar systems Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan Detection & estimation for communication & radar systems Cambridge Cambridge University Press 2013 1 online resource (x, 322 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers Signal processing Signal detection Signalschätzung (DE-588)4390794-5 gnd rswk-swf Signaldetektion (DE-588)4181266-9 gnd rswk-swf Signaldetektion (DE-588)4181266-9 s Signalschätzung (DE-588)4390794-5 s 1\p DE-604 Lorenzelli, Flavio Sonstige oth Chen, Chiao-En Sonstige oth Erscheint auch als Druckausgabe 978-0-521-76639-5 https://doi.org/10.1017/CBO9781139015615 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Yao, Kung Detection and estimation for communication and radar systems Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design Signal processing Signal detection Signalschätzung (DE-588)4390794-5 gnd Signaldetektion (DE-588)4181266-9 gnd |
| subject_GND | (DE-588)4390794-5 (DE-588)4181266-9 |
| title | Detection and estimation for communication and radar systems |
| title_alt | Detection & estimation for communication & radar systems |
| title_auth | Detection and estimation for communication and radar systems |
| title_exact_search | Detection and estimation for communication and radar systems |
| title_full | Detection and estimation for communication and radar systems Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan |
| title_fullStr | Detection and estimation for communication and radar systems Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan |
| title_full_unstemmed | Detection and estimation for communication and radar systems Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan |
| title_short | Detection and estimation for communication and radar systems |
| title_sort | detection and estimation for communication and radar systems |
| topic | Signal processing Signal detection Signalschätzung (DE-588)4390794-5 gnd Signaldetektion (DE-588)4181266-9 gnd |
| topic_facet | Signal processing Signal detection Signalschätzung Signaldetektion |
| url | https://doi.org/10.1017/CBO9781139015615 |
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