Open AccessMost Effective Sampling Scheme for Prediction of Stationary Stochastic Processes
Author(s) -
Mohammad Mehdi Saber,
Z. Shishebor,
M. M. Abd El Raouf,
E. H. Hafez,
Ramy Aldallal
Publication year - 2022
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2022/4997675
Subject(s) - autocovariance , sampling (signal processing) , sampling scheme , computer science , scheme (mathematics) , process (computing) , importance sampling , function (biology) , novelty , mathematical optimization , stochastic process , algorithm , mathematics , statistics , monte carlo method , mathematical analysis , philosophy , theology , filter (signal processing) , fourier transform , estimator , evolutionary biology , computer vision , biology , operating system
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