Results 201 to 210 of about 1,586 (236)
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Spectral Decomposition by Synchrosqueezing Transform
Proceedings, 2013The synchrosqueezing transform (SST) is a wavelet-based time-frequency reassignment method, which has a grounded mathematical foundation. It produces a well defined time-frequency representation allowing the identification of instantaneous frequencies to highlight individual components.
J. Han, R.H. Herrera, M. van der Baan
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Selective Time-Frequency Reassignment Based on Synchrosqueezing
IEEE Signal Processing Letters, 2015Reassignment methods seek to sharpen the time-frequency representation of conventional time-frequency algorithms, such as the continuous wavelet transform (CWT). However, such methods aim to localize both noise components and signal components of interest, which makes the discrimination between such components for low SNR signals a difficult task ...
Alireza Ahrabian, Danilo P. Mandic
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Synchrosqueezing Transform Based Methodology for Radiometric Identification
2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018This paper describes the application of the SynchroSqueezing Transform (SST) to the problem of radiometric identification, which means that wireless devices can be identified and authenticated through their radio frequency emissions. Radiometric identification has been applied to enhance the security of wireless networks based on WiFi or cellular ...
Baldini, Gianmarco +2 more
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Estimation of phase synchrony using the synchrosqueezing transform
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014Phase synchronization has emerged as an important concept in quantifying interactions between dynamical systems. In this work a robust estimate of the phase synchrony between bivariate signals is presented. This is achieved by extending the recently introduced synchrosqueezing transform (SST), a method that belongs to the class of reassignment ...
Alireza Ahrabian, Danilo P. Mandic
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Demodulated Synchrosqueezing Transform
2018 Chinese Automation Congress (CAC), 2018Synchrosqueezing transform (SST) is an interesting time-frequency analysis tool that is able to provide high TF resolution and allow for signal reconstruction. It brings some new insights for understanding this non-stationary world. However, many recent studies show that, some inherent shortcomings are gradually recognized.
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A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing
IEEE Transactions on Signal Processing, 2015Univariate thresholding techniques based on high resolution time-frequency algorithms, such as the synchrosqueezing transform, have emerged as important tools in removing noise from real world data. Low cost multichannel sensor technology has highlighted the need for direct multivariate denoising, and to this end, we introduce a class of multivariate ...
Alireza Ahrabian, Danilo P. Mandic
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Horizontal Synchrosqueezing Transform: Algorithm and Applications
IEEE Sensors Journal, 2020Advancements in the synchrosqueezing transform as a postprocessing time–frequency method have received considerable attention in the past few decades for the analysis of nonstationary signals. Many studies have focused on improving the accuracy of the estimated instantaneous frequency (IF). In some fields, the IF spectra of signals exhibit fast varying
Xiaotong Tu +4 more
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Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis
IEEE Transactions on Signal Processing, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shibin Wang +5 more
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Synchrosqueezed wavelet transform for damping identification
Mechanical Systems and Signal Processing, 2016Abstract Synchrosqueezing is a procedure for improving the frequency localization of a continuous wavelet transform. This research focuses on using a synchrosqueezed wavelet transform (SWT) to determine the damping ratios of a vibrating system using a free-response signal.
Marko Mihalec +2 more
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Generalized Synchrosqueezing Transform: Algorithm and Applications
IEEE Transactions on Instrumentation and Measurement, 2023Wenjie Bao +3 more
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