activity
20242026
collaborators

11 papers

stat.ME2026

Uncertainty quantification of synchrosqueezing transform under complicated nonstationary noise

Hau-Tieng Wu, Zhou Zhou

We propose a bootstrapping framework to quantify uncertainty in time-frequency representations (TFRs) generated by the short-time Fourier transform (STFT) and the STFT-based synchr…

math.CA2026

On spectral interference of the short-time Fourier transform and its nonlinear variations

Shrikant Chand, James Nolen, Hau-Tieng Wu

Spectral interference, the frequency counterpart of the beating phenomenon in the time domain, can severely distort time-frequency representations (TFRs) in physical applications.…

math.ST2026

Probabilistic Analysis of Scalogram Ridges in Signal Processing

Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu

While ridges in the scalogram, determined by the squared modulus of analytic wavelet transform (AWT), is a widely accepted concept and utilized in nonstationary time series analysi…

math.ST2025

On Random Fields Associated with Analytic Wavelet Transform

Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu

Despite the broad application of the analytic wavelet transform (AWT), a systematic statistical characterization of its magnitude and phase as inhomogeneous random fields on the ti…

stat.ME2025

On the Practical Use of Blaschke Decomposition in Nonstationary Signal Analysis

Ronald R. Coifman, Hau-Tieng Wu

The Blaschke decomposition-based algorithm, {\em Phase Dynamics Unwinding} (PDU), possesses several attractive theoretical properties, including fast convergence, effective decompo…

math.ST2025

Theoretical analysis of phase-rectified signal averaging (PRSA) algorithm

Jiro Akahori, Joseph Najnudel, Hau-Tieng Wu +1

Phase-rectified signal averaging (PRSA) is a widely used algorithm to analyze nonstationary biomedical time series. The method operates by identifying hinge points in the time seri…