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20232026
most citedRidge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications

1 citations · 2 across the 15 of their papers we have counts for

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6 papers · 1 filter

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…

eess.SP2025

Time-Frequency Filtering Meets Graph Clustering

Marcelo A. Colominas, Stefan Steinerberger, Hau-Tieng Wu

We show that the problem of identifying different signal components from a time-frequency representation can be equivalently phrased as a graph clustering problem: given a graph $G…

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

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

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.ST2025

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…