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Examination of natural noise signals: preliminary results for aquatic environment
Author(s) -
Hristo Zhivomirov,
Ivaylo Nedelchev
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/595/1/012054
Subject(s) - kurtosis , correlogram , autocorrelation , spectrogram , noise (video) , acoustics , skewness , range (aeronautics) , environmental science , mathematics , statistics , computer science , engineering , speech recognition , artificial intelligence , physics , image (mathematics) , aerospace engineering
The present article treats the signal analysis and the revealing of the properties of noise signals which are caused by cavitation, boiling, flow and motion of water (aquatic environment) in natural conditions. All examined signals are not of androgenic and/or technogenic origin and corresponds to a few natural processes e.g. , boiling water, rain, sea surf. All analyses are conducted in the Matlab ® environment and include: computation of the mean and RMS values, dynamic range, crest factor, skewness and kurtosis, autocorrelation time; test for stationarity; plot of the oscillogram, correlogram, histogram, periodogram and spectrogram. Finally, some common conclusions are drawn, based on the analyses results.

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