Hau-tieng Wu

Prof. Hau-tieng Wu

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2011 in Applied and Computational Harmonic Analysis
Verified
Journal Article
Closed access
IDIngrid Daubechies
Ingrid Daubechies
JLJianfeng Lu
Jianfeng Lu
HWHau-tieng Wu
Hau-tieng Wu

16 October 2013 in IEEE Signal Processing Magazine
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Journal Article
Closed access
Francois AUGERFrancois AUGER
Francois AUGER
PFPatrick Flandrin
Patrick Flandrin
YLYu-Ting Lin
Yu-Ting Lin
SMStephen McLaughlin
Stephen McLaughlin
SMSylvain Meignen
Sylvain Meignen
HWHau-tieng Wu
Hau-tieng Wu
This article provides a general overview of time-frequency (T-F) reassignment and synchrosqueezing techniques applied to multicomponent signals, covering the theoretical background and applications. We explain how synchrosqueezing can be viewed as a special case of reassignment enabling mode reconstruction and place emphasis on the interest of using such T-F distributions throughout with illustrative examples.

1 May 2013 in Signal Processing
Verified
Journal Article
Closed access
GTGaurav Thakur
Gaurav Thakur
EBEugene Brevdo
Eugene Brevdo
NFNeven S. Fučkar
Neven S. Fučkar
HWHau-tieng Wu
Hau-tieng Wu

30 March 2012 in Communications on Pure and Applied Mathematics
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Journal Article
Closed access
PDF file
ASA. Singer
A. Singer
HWHau-tieng Wu
Hau-tieng Wu

1 January 2011 in SIAM Journal on Mathematical Analysis
Verified
Journal Article
Closed access
GTGaurav Thakur
Gaurav Thakur
HWHau-tieng Wu
Hau-tieng Wu
We propose a new approach for studying the notion of the instantaneous frequency of a signal. We build on ideas from the Synchrosqueezing theory of Daubechies, Lu, and Wu [Appl. Comput. Harmonic Anal., 30 (2010), pp. 243–261] and consider a variant of Synchrosqueezing, based on the short-time Fourier transform, to precisely define the instantaneous frequencies of a multicomponent AM-FM signal. We describe an algorithm to recover these instantaneous frequencies from the uniform or nonuniform samples of the signal and show that our method is robust to noise. We also consider an alternative approach based on the conventional, Hilbert transform-based notion of instantaneous frequency to compare to our new method. We use these methods on several test cases and apply our results to a signal analysis problem in electrocardiography.

13 April 2016 in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Verified
Journal Article
Open access
IDIngrid Daubechies
Ingrid Daubechies
YWYi (Grace) Wang
Yi (Grace) Wang
HWHau-tieng Wu
Hau-tieng Wu
A new method is proposed to determine the time–frequency content of time-dependent signals consisting of multiple oscillatory components, with time-varying amplitudes and instantaneous frequencies. Numerical experiments as well as a theoretical analysis are presented to assess its effectiveness.