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System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles - Springerbriefs in Mathematics Qi He
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System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles - Springerbriefs in Mathematics
Qi He
By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, and computational complexity in algorithms.
107 pages, 1 black & white illustrations, 16 colour illustrations, biography
| Media | Kirjat Paperback Book (Kirja pehmeillä kansilla ja liimatulla selällä) |
| Julkaisupäivämäärä | perjantai 8. helmikuuta 2013 |
| ISBN13 | 9781461462910 |
| Tuottaja | Springer-Verlag New York Inc. |
| Genre | Aspects (Academic) > Science / Technology Aspects |
| Sivujen määrä | 107 |
| Mitta | 156 × 234 × 5 mm · 178 g |
| Kieli | Englanti |
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