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Table 1 Nomenclature

From: A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures

αEntropy order
βConstant
χEntropy mask
δWindow size
δ+Optimal window size
ΓThreshold parameter
ω(t)Smoothing window
\(\overline {L}\)The largest lower limit of D
σEstimation variance
τContinuous lag
τ+Optimal threshold
\(\underline {U}\)The smallest upper limit of D
C(t,f)TFD of the signal
DConfidence interval
EEnergy
fContinuous frequency
FNFalse negatives
FPFalse positives
gTime smoothing window
HEntropy
hFrequency smoothing window
H(s)Shannon entropy
\(H^{\delta }_{\rho }\)Rényi entropy for window size
\(H^{\text {RICI}}_{\rho (t,f)}\)Optimal Rényi entropy
LLower limit of D
MFrequency bins
MpDistribution
NNumber of samples
OOverlapping confidence intervals
piProbability value
R(n,δ)Ratio of finite interval and confidence interval
RcThreshold
tContinuous time
TNTrue negatives
TPTrue positives
UUpper limit of D
x(t)Signal