activity
20142022
most citedDeep nets for local manifold learning

9 citations · 40 across the 15 of their papers we have counts for

collaborators

17 papers

math.CA2022★ 2 cited

On Marcinkiewicz-Zygmund inequalities and -weights for -shape arcs

Charles K. Chui, Lefan Zhong

Let be an -shape arc consisting of 2 line segments that meet at an angle different from in the complex -plane $\CC$. This paper is to investigate the behavior of the…

math.CA2022

Order of uniform approximation by polynomial interpolation in the complex plane and beyond

Charles K. Chui, Lefan Zhong

For Lagrange polynomial interpolation on open arcs in , it is well-known that the Lebesgue constant for the family of Chebyshev points ${\bf{x}}_n:=\{x_{n,j}\}^{n…

math.NA2022

Analysis of a Direct Separation Method Based on Adaptive Chirplet Transform for Signals with Crossover Instantaneous Frequencies

Charles K. Chui, Qingtang Jiang, Lin Li +1

In many applications, it is necessary to retrieve the sub-signal building blocks of a multi-component signal, which is usually non-stationary in real-world and real-life applicatio…

math.NA2020★ 3 cited

Time-Scale-Chirp_rate Operator for Recovery of Non-stationary Signal Components with Crossover Instantaneous Frequency Curves

Charles K. Chui, Qingtang Jiang, Lin Li +1

The objective of this paper is to introduce an innovative approach for the recovery of non-stationary signal components with possibly cross-over instantaneous frequency (IF) curves…

math.NA2020★ 2 cited

Analysis of an Adaptive Short-Time Fourier Transform-Based Multicomponent Signal Separation Method Derived from Linear Chirp Local Approximation

Charles K. Chui, Qingtang Jiang, Lin Li +1

The synchrosqueezing transform (SST) has been developed as a powerful EMD-like tool for instantaneous frequency (IF) estimation and component separation of non-stationary multicomp…

math.NA2020

Signal Separation Based on Adaptive Continuous Wavelet Transform and Analysis

Charles K. Chui, Qingtang Jiang, Lin Li +1

Recently the synchrosqueezed transform (SST) was developed as an empirical mode decomposition (EMD)-like tool to enhance the time-frequency resolution and energy concentration of a…