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Wyszukujesz frazę "autocorrelated signal" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Evaluation of the uncertainty type A of the random stationary signal component from its autocorrelated observations
Autorzy:
Warsza, Z. L.
Dorozhovets, M.
Powiązania:
https://bibliotekanauki.pl/articles/114152.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
sampled signal
autocorrelated signal
stationary random component
effective number of observations
Opis:
A proposal of evaluation of the uncertainty type A of the stationary random component of measured signal from its regularly sampled observations when they are auto-correlated is described. In the first step the regularly variable components of the signal are identified and removed from the raw sample data. Then upgreaded formulas for standard uncertainty type A of the sample and of the mean value are expressed with use the correction coefficients or the so-called "effective number" of observations. These quantities depend on number of observations and on the autocorrelation function of the sample cleaned from regular components. Two methods of finding and estimating the autocorrelation function for the sample data are also described. Some numerical examples are included.
Źródło:
Measurement Automation Monitoring; 2015, 61, 8; 399-402
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Standard uncertainty determination of the mean for correlated data using conditional averaging
Autorzy:
Kowalczyk, A.
Szlachta, A.
Hanus, R.
Powiązania:
https://bibliotekanauki.pl/articles/221127.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
uncertainty of the mean value
autocorrelated data
conditional averaging
random signal
Opis:
The correlation of data contained in a series of signal sample values makes the estimation of the statistical characteristics describing such a random sample difficult. The positive correlation of data increases the arithmetic mean variance in relation to the series of uncorrelated results. If the normalized autocorrelation function of the positively correlated observations and their variance are known, then the effect of the correlation can be taken into consideration in the estimation process computationally. A significant hindrance to the assessment of the estimation process appears when the autocorrelation function is unknown. This study describes an application of the conditional averaging of the positively correlated data with the Gaussian distribution for the assessment of the correlation of an observation series, and the determination of the standard uncertainty of the arithmetic mean. The method presented here can be particularly useful for high values of correlation (when the value of the normalized autocorrelation function is higher than 0.5), and for the number of data higher than 50. In the paper the results of theoretical research are presented, as well as those of the selected experiments of the processing and analysis of physical signals.
Źródło:
Metrology and Measurement Systems; 2012, 19, 4; 787-796
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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