Simulation of the measurer of the time of appearance and the average power of the random pulse signal
The maximum likelihood measurer is considered of the time of appearance and the average power of the fast fluctuating Gaussian band pulse against Gaussian white noise. The possibilities of its practical implementation are demonstrated and its accuracy characteristics are determined. By statistical s...
| Published in: | 2019 5th International Conference on Frontiers of Signal Processing (ICFSP 2019), September 18-20, 2019, Marseille, France P. 105-110 |
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| Main Author: | |
| Other Authors: | , |
| Format: | Book Chapter |
| Language: | English |
| Subjects: | |
| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000721807 Перейти в каталог НБ ТГУ |
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| 039 | 9 | |a 202006151832 |c 202006111301 |d VLOAD |y 202006111257 |z Александр Эльверович Гилязов | |
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| 100 | 1 | |a Chernoyarov, Oleg V. |9 167444 | |
| 245 | 1 | 0 | |a Simulation of the measurer of the time of appearance and the average power of the random pulse signal |c O. V. Chernoyarov, A. V. Salnikova, A. A. Makarov |
| 504 | |a Библиогр.: 10 назв. | ||
| 520 | 3 | |a The maximum likelihood measurer is considered of the time of appearance and the average power of the fast fluctuating Gaussian band pulse against Gaussian white noise. The possibilities of its practical implementation are demonstrated and its accuracy characteristics are determined. By statistical simulation methods, the experimental values of biases and variances of the resulting estimates are found. The error ranges of the theoretical formulas describing the measurer performance are established. There have been determined the conditions of high a posteriori accuracy for the measurer operation, that is, such signal-to-noise ratios above which the anomalous errors in estimating the pulse time parameter are practically non-existent. | |
| 653 | |a фазовые измерения | ||
| 653 | |a метод максимального правдоподобия | ||
| 653 | |a случайные импульсные сигналы | ||
| 653 | |a статистическое моделирование | ||
| 653 | |a вероятность аномальной ошибки | ||
| 655 | 4 | |a статьи в сборниках |9 879352 | |
| 700 | 1 | |a Salnikova, Alexandra V. |9 167445 | |
| 700 | 1 | |a Makarov, Alexander A. |9 502617 | |
| 773 | 0 | |t 2019 5th International Conference on Frontiers of Signal Processing (ICFSP 2019), September 18-20, 2019, Marseille, France |d [S. l.], 2019 |g P. 105-110 |z 9781728124537 |z 9781728152585 | |
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| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=466924 | ||
| 908 | |a статья | ||
| 999 | |c 466924 |d 466924 | ||