Field guide to probability, random processes, and random data analysis:
Mathematical theory developed in basic courses in engineering and science usually involves deterministic phenomena, and such is the case in solving a differential equation that describes some linear system where both the input and output are deterministic quantities. In practice, however, the input...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Bellingham, Wash.
SPIE
2012
|
| Series: | SPIE field guides
22 |
| Subjects: | |
| Online Access: | FHD01 Volltext |
| Summary: | Mathematical theory developed in basic courses in engineering and science usually involves deterministic phenomena, and such is the case in solving a differential equation that describes some linear system where both the input and output are deterministic quantities. In practice, however, the input to a linear system, like an imaging system or radar system, may contain a "random" quantity that yields uncertainty about the output. Such systems must be treated by probabilistic methods rather than deterministic methods. For this reason, probability theory and random process theory have become indispensable tools in the mathematical analysis of these kinds of engineering systems. Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis |
| Physical Description: | 1 online resource (108 pages) digital file |
| ISBN: | 9780819487025 |
| DOI: | 10.1117/3.898495 |
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| indexdate | 2024-07-10T07:47:17Z |
| institution | BVB |
| isbn | 9780819487025 |
| language | English |
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| spelling | Andrews, Larry C. Verfasser aut Field guide to probability, random processes, and random data analysis Larry C. Andrews, Ronald L. Phillips Bellingham, Wash. SPIE 2012 1 online resource (108 pages) digital file txt rdacontent c rdamedia cr rdacarrier SPIE field guides FG22 SPIE Digital Library Mathematical theory developed in basic courses in engineering and science usually involves deterministic phenomena, and such is the case in solving a differential equation that describes some linear system where both the input and output are deterministic quantities. In practice, however, the input to a linear system, like an imaging system or radar system, may contain a "random" quantity that yields uncertainty about the output. Such systems must be treated by probabilistic methods rather than deterministic methods. For this reason, probability theory and random process theory have become indispensable tools in the mathematical analysis of these kinds of engineering systems. Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis Mathematical analysis Probabilities Random data (Statistics) Electronic books Phillips, Ronald L. Verfasser aut Erscheint auch als Druck-Ausgabe 978-0-8194-8701-8 SPIE field guides 22 (DE-604)BV041885814 22 https://doi.org/10.1117/3.898495 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Andrews, Larry C. Phillips, Ronald L. Field guide to probability, random processes, and random data analysis SPIE field guides Mathematical analysis Probabilities Random data (Statistics) |
| title | Field guide to probability, random processes, and random data analysis |
| title_auth | Field guide to probability, random processes, and random data analysis |
| title_exact_search | Field guide to probability, random processes, and random data analysis |
| title_full | Field guide to probability, random processes, and random data analysis Larry C. Andrews, Ronald L. Phillips |
| title_fullStr | Field guide to probability, random processes, and random data analysis Larry C. Andrews, Ronald L. Phillips |
| title_full_unstemmed | Field guide to probability, random processes, and random data analysis Larry C. Andrews, Ronald L. Phillips |
| title_short | Field guide to probability, random processes, and random data analysis |
| title_sort | field guide to probability random processes and random data analysis |
| topic | Mathematical analysis Probabilities Random data (Statistics) |
| topic_facet | Mathematical analysis Probabilities Random data (Statistics) |
| url | https://doi.org/10.1117/3.898495 |
| volume_link | (DE-604)BV041885814 |
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