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Effects of random-process classification characteristics on measurement processing accuracy

โœ Scribed by A. M. Prokhorenkov; N. M. Kachala

Publisher
Springer US
Year
2008
Tongue
English
Weight
220 KB
Volume
51
Category
Article
ISSN
0543-1972

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โœ J.-N. Yang ๐Ÿ“‚ Article ๐Ÿ“… 1973 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 608 KB

Efficient methods of simulating stationary and non-stationary random processes and envelopes, by using a series of sine or cosine functions or by using the fast Fourier transform, have been proposed previously. Without applying the central limit theorem, it is shown in this paper that the simulated