| 书目名称 | System Identification Using Regular and Quantized Observations |
| 副标题 | Applications of Larg |
| 编辑 | Qi He,Le Yi Wang,G. George Yin |
| 视频video | |
| 概述 | Presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.First book devoted to large deviations to system identificatio |
| 丛书名称 | SpringerBriefs in Mathematics |
| 图书封面 |  |
| 描述 | This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications. |
| 出版日期 | Book 2013 |
| 关键词 | System identification; binary observation; error estimate; large deviations; parameter estimation; quanti |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-6292-7 |
| isbn_softcover | 978-1-4614-6291-0 |
| isbn_ebook | 978-1-4614-6292-7Series ISSN 2191-8198 Series E-ISSN 2191-8201 |
| issn_series | 2191-8198 |
| copyright | Qi He, Le Yi Wang, and G. George Yin 2013 |
发表于 2025-3-21 17:44:00
