Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach [PDF]
Sensors, 2023 Compressive sensing (CS) of the signal ambiguity function (AF) and enforcing the sparsity constraint on the resulting signal time-frequency distribution (TFD) has been shown to be an efficient method for time-frequency signal processing.
Vedran Jurdana +2 more
doaj +2 more sources
LPI Radar Waveform Recognition Based on Time-Frequency Distribution [PDF]
Sensors, 2016 In this paper, an automatic radar waveform recognition system in a high noise environment is proposed. Signal waveform recognition techniques are widely applied in the field of cognitive radio, spectrum management and radar applications, etc. We devise a
Ming Zhang, Lutao Liu, Ming Diao
doaj +2 more sources
Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study [PDF]
Bioengineering, 2017 Accurate estimation of seismocardiographic (SCG) signal features can help successful signal characterization and classification in health and disease. This may lead to new methods for diagnosing and monitoring heart function. Time-frequency distributions
Amirtaha Taebi, Hansen A. Mansy
doaj +2 more sources
EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution [PDF]
Sensors, 2018 Accurate recognition and understating of human emotions is an essential skill that can improve the collaboration between humans and machines. In this vein, electroencephalogram (EEG)-based emotion recognition is considered an active research field with ...
Rami Alazrai +3 more
doaj +2 more sources
Acoustic Signal Recognition of Partial Discharge Optical Fiber Sensors Using Time-Frequency Phase Composition [PDF]
SensorsA novel method for recognizing acoustic signals of partial discharge optical fiber sensors using the time-frequency phase composition property is proposed in this paper.
Xuhui Jin +4 more
doaj +2 more sources
Remote Sensing, 2023 The extraction of the micro-Doppler (m-D) feature based on time-frequency distribution (TFD) is of great significance for target detection and identification.
Yang Yang +4 more
doaj +1 more source
Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals
Sensors, 2022 This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal’s useful information content over time.
Nicoletta Saulig +3 more
doaj +1 more source
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
openaire +2 more sources
On positivity of time-frequency distributions [PDF]
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985 Consideration is given to the problem of how to regard the fundamental impossibility with time-frequency energy distributions of Cohen's class always to be nonnegative and, at the same time, to have correct marginal distributions. It is shown that the Wigner distribution is the only member of a large class of bilinear time-frequency distributions that ...
Janssen, A.J.E.M., Claasen, T.A.C.M.
openaire +2 more sources
An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution [PDF]
Metrology and Measurement Systems, 2023 The most crucial transmission components utilized in rotating machinery are gears and bearings. In a gearbox, the bearings support the force acting on the gears.
Athisayam Andrews, Kondal Maniseka
doaj +1 more source