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Optimising Time-Frequency Distributions: A Surface Metrology Approach [PDF]
Sensors, 2023 Time-frequency signal processing offers a significant advantage over temporal or frequency-only methods, but representations require optimisation for a given signal. Standard practice includes choosing the appropriate time-frequency distribution and fine-
Damir Malnar, Miroslav Vrankic
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Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis [PDF]
Sensors, 2023 Instantaneous frequency (IF) is commonly used in the analysis of electroencephalogram (EEG) signals to detect oscillatory-type seizures. However, IF cannot be used to analyze seizures that appear as spikes.
Vedran Jurdana +3 more
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Novel characterization method of impedance cardiography signals using time-frequency distributions. [PDF]
Med Biol Eng Comput, 2018 The purpose of this document is to describe a methodology to select the most adequate time-frequency distribution (TFD) kernel for the characterization of impedance cardiography signals (ICG). The predominant ICG beat was extracted from a patient and was
Escrivá Muñoz J +4 more
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Computationally Efficient Scale Covariant Time-Frequency Distributions [PDF]
EURASIP Journal on Advances in Signal Processing, 2009 Scale is a physical attribute of a signal which occurs in many natural settings. Time-frequency distributions (TFDs) belonging to Cohen's class are invariant to time and frequency shifts, but are not necessarily covariant to the time scalings of the ...
Selin Aviyente
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Information Complexity of Time-Frequency Distributions of Signals in Detection and Classification Problems [PDF]
EntropyThe paper considers the problem of detecting and classifying acoustic signals based on information (entropy) criteria. A number of new information features based on time-frequency distributions are proposed, which include the spectrogram and its upgraded
Pavel Lysenko +3 more
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New Time-Frequency Distribution [PDF]
Circuits, Systems, and Signal Processing, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pei, Soo-Chang, Tsai, Er-Jung
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Mathematics, 2023 In this paper, we study the connections between generalized mean operators and entropies, where the mean value operators are related to the strictly monotone logical operators of fuzzy theory. Here, we propose a new entropy measure based on the family of
József Dombi +2 more
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Fractional time-frequency distributions [PDF]
Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97, 2002 Several quadratic signal representation methods have been successfully used in signal processing. Four quadratic signal representations, Wigner distribution, ambiguity function, signal correlation function and spectral correlation function are the traditional ones.
Pei, Soo-Chang, Yeh, Min-Hung
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Rule-Based EEG Classifier Utilizing Local Entropy of Time–Frequency Distributions
Mathematics, 2021 Electroencephalogram (EEG) signals are known to contain signatures of stimuli that induce brain activities. However, detecting these signatures to classify captured EEG waveforms is one of the most challenging tasks of EEG analysis. This paper proposes a
Jonatan Lerga +3 more
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Power Quality Analysis Using Bilinear Time-Frequency Distributions
EURASIP Journal on Advances in Signal Processing, 2010 Bilinear time-frequency distributions (TFDs) are powerful techniques that offer good time and frequency resolution of time-frequency representation (TFR).
Sha'ameri AhmadZuri +1 more
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