Location of non-stationary forced oscillation (FO) sources can be a challenging task, especially under resonance condition with natural system modes. In this case, the magnitudes oscillations could greater in places distant from source and spreads over large region power system. Detection, frequency identification filtering FO oscillatory components constitutes an initial critical step for appl...

In this paper, our goal is to investigate local chirp rate (CR) estimation in noisy multicomponent signals. The focus put on improving a specific type of CR estimator used the second order synchrosqueezing transform, which proves be very inaccurate presence noise. More precisely, noise creates spurious oscillations estimate, and we first emphasis terms responsible for these oscillations. Then p...

In the field of nonstationary signal analysis and processing, short-time Fourier transform (STFT) is frequently used to convert signals into time-frequency domain. The instantaneous frequency (IF) STFT defined as time derivative phase plays an important role in reassignment method synchrosqueezing (SST). this paper, we propose a framework design window function for computing IF STFT. Computing ...

Variations of instantaneous heart rate appears regularly oscillatory in deeper levels of anesthesia and less regular in lighter levels of anesthesia. It is impossible to observe this “rhythmic-to-non-rhythmic” phenomenon from raw electrocardiography waveform in current standard anesthesia monitors. To explore the possible clinical value, I proposed the adaptive harmonic model, which fits the de...

Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models’ performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because features extracted by insufficient under noise jamming. In this paper, we propose a multi-resolution deep feature fusion method LPI First, apply enhanced Fourier-based Synch...

Focal and non-focal Electroencephalogram (EEG) signals have proved to be effective techniques for identifying areas in the brain that are affected by epileptic seizures, known as epileptogenic zones. The detection of location focal EEG time seizure occurrence vital information help doctors treat seizures using a surgical method. This paper proposed computer-aided (CAD) system detecting classify...

one of the challenging issues in managing the existing large digital image libraries and databases is content based image retrieval (cbir). the accuracy of image retrieval methods in cbir is subject to effective extraction of image features such as color, texture, and shape. in this paper, we propose a new image retrieval method using contourlet transform coefficients to index texture of the im...