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A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing.

, and . IEEE Trans. Signal Process., 63 (9): 2196-2208 (2015)

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Segment Parameter Labelling in MCMC Mean-Shift Change Detection., , , and . ICASSP, page 4244-4248. IEEE, (2018)A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing., and . IEEE Trans. Signal Process., 63 (9): 2196-2208 (2015)Detecting changes in the variance of multi-sensory accelerometer data using MCMC., , , and . IEEE SENSORS, page 1-3. IEEE, (2017)Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter., , , and . IV, page 1731-1738. IEEE, (2019)Algorithmic Trading Using Phase Synchronization., , and . J. Sel. Topics Signal Processing, 6 (4): 399-403 (2012)Scenario Gym: A Scenario-Centric Lightweight Simulator., , , , , , , , and . ITSC, page 5216-5222. IEEE, (2023)Estimation of phase synchrony using the synchrosqueezing transform., and . ICASSP, page 759-763. IEEE, (2014)Selective Time-Frequency Reassignment Based on Synchrosqueezing., and . IEEE Signal Process. Lett., 22 (11): 2039-2043 (2015)Image-Guided Depth Upsampling via Hessian and TV Priors., , and . CoRR, (2019)Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals., , and . IEEE Signal Process. Lett., 20 (3): 245-248 (2013)