2018
DOI: 10.3103/s073527271807004x
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Multithreshold Procedure for Evaluating Parameters of Meteorological Objects against the Background of Local Objects Clutter in Pulsed Doppler Weather Radars

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Cited by 3 publications
(4 citation statements)
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“…If the probabilities of false crossing of the level H are small and the condition below is satisfied [19]:…”
Section: Description Of Complete Sufficient Statistics Estimation Methodmentioning
confidence: 99%
See 1 more Smart Citation
“…If the probabilities of false crossing of the level H are small and the condition below is satisfied [19]:…”
Section: Description Of Complete Sufficient Statistics Estimation Methodmentioning
confidence: 99%
“…The extended noise-resistant correlation method to identify the period of pseudoperiodic signals is derived in [16]. Attempts are being made to use Fourier and wavelet transformation with windows of various kinds to increase the localization of signal energy [17], [18] or multithreshold circuits [19], [20] are used, which give a gain in the accuracy of the estimate in particular cases, however, in general, they carry the risk of estimation circuit work going from stable and equilibrium state. It is also possible to use neural network methods to solve the problem of estimating signal parameters, but the main disadvantage here is multiple increase in the sample size for training [21], even with a slight change to the signalnoise environment.…”
Section: Introductionmentioning
confidence: 99%
“…1 ). If the probabilities of false crossings of the level H are small and the condition below is satisfied 23 : where is the Laplace integral, is the variance of the derivative of the process η(t) , and r''(0) is the value of the second derivative of the normalized correlation function r(t) at t = 0 , then the one dimensional probability distribution densities at level H is as follows 14 : where = 1/[q |s'( )|], = 1/[q |s'( )|] .…”
Section: Methodsmentioning
confidence: 99%
“…The extended noise-resistant correlation method to identify the period of pseudo-periodic signals is derived in 20 . Attempts are being made to use Fourier and wavelet transformation with windows of various kinds to increase the localization of signal energy 21 , 22 or multi-threshold circuits 23 , 24 are used, which give a gain in the accuracy of the estimate in particular cases. However, in general, they carry the risk of instability proposed algorithm.…”
Section: Introductionmentioning
confidence: 99%