activity
20152019
most citedAdaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2019

Two-Sample Test Based on Classification Probability

Haiyan Cai, Bryan Goggin, Qingtang Jiang

Robust classification algorithms have been developed in recent years with great success. We take advantage of this development and recast the classical two-sample test problem in t…

math.NA2018★ 2 cited

Analysis of Adaptive Short-time Fourier Transform-based Synchrosqueezing Transform

Haiyan Cai, Qingtang Jiang, Lin Li +1

Recently the study of modeling a non-stationary signal as a superposition of amplitude and frequency-modulated Fourier-like oscillatory modes has been a very active research area.…

eess.SP2018★ 2 cited

Adaptive Synchrosqueezing Transform with a Time-Varying Parameter for Non-stationary Signal Separation

Lin Li, Haiyan Cai, Qingtang Jiang

The continuous wavelet transform (CWT) is a linear time-frequency representation and a powerful tool for analyzing non-stationary signals. The synchrosqueezing transform (SST) is a…

eess.SP2018★ 7 cited

Adaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation

Lin Li, Haiyan Cai, Hongxia Han +2

The synchrosqueezing transform, a kind of reassignment method, aims to sharpen the time-frequency representation and to separate the components of a multicomponent non-stationary s…

math.PR2015

A Note on Jointly Modeling Edges and Node Attributes of a Network

Haiyan Cai

We are interested in modeling networks in which the connectivity among the nodes and node attributes are random variables and interact with each other. We propose a probabilistic m…