Algorithms and Applications for Estimating the Standard Deviation of AWGN when Observations are not Signal-Free
نویسندگان
چکیده
منابع مشابه
Algorithms and Applications for Estimating the Standard Deviation of AWGN when Observations are not Signal-Free
— Consider observations where random signals are randomly present or absent in independent and additive white Gaussian noise (AWGN). By using a recently established limit theorem, we introduce a new estimator for the estimation of the noise standard deviation when the signals are less present than absent and have unknown probability distributions. The bias, the consistency and the minimum attai...
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it is not possible to understand developments of a country’s culture and civilization without knowing his believes and myths. whether it is north or south, east or west, planes or mountains, sahara or deserts, here in iran every corner includes valuable and precious treasures which are known all over the world, and cultural – historical objects which are found here adorn all well known museums...
Maintaining standards: differences between the standard deviation and standard error, and when to use each.
Many people confuse the standard deviation (SD) and the standard error of the mean (SE) and are unsure which, if either, to use in presenting data in graphical or tabular form. The SD is an index of the variability of the original data points and should be reported in all studies. The SE reflects the variability of the mean values, as if the study were repeated a large number of times. By itsel...
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ژورنال
عنوان ژورنال: Journal of Computers
سال: 2007
ISSN: 1796-203X
DOI: 10.4304/jcp.2.7.1-10