A new spectrum feature discovered for a category of signals produced by massive and random micro-sources
Zhuang Xiaodong, Mastorakis Nikos
MATEC Web of Conferences · 2018
doi:10.1051/matecconf/201821005010 (opens in a new tab)
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Abstract
A statistical study is implemented on the short-time spectrum of one main category of random signals. For the signals with massive and random micro-sources, a new statistic feature of the short-time amplitude spectrum is discovered, which reveals the relationship between the amplitude’s average and its standard for each frequency component. Moreover, the association between the amplitude distributions for different frequency components is also studied. A model representing such association is presented, which accords well with the statistic feature discovered. The analysis result has potential application in signal classification, and also in the study of system characteristics underlying the observed signal.
Abstract licence: CC BY
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