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20142022
most citedDeep nets for local manifold learning

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

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Showing 2020Show all

6 papers · 1 filter

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…

eess.SP2020★ 2 cited

Direct Signal Separation Via Extraction of Local Frequencies with Adaptive Time-Varying Parameters

Lin Li, Charles K. Chui, Qingtang Jiang

Real-world phenomena that can be formulated as signals are often affected by a number of factors and appear as multi-component modes. To understand and process such phenomena, "div…

eess.SP2020★ 6 cited

A Chirplet Transform-based Mode Retrieval Method for Multicomponent Signals with Crossover Instantaneous Frequencies

Lin Li, Ningning Han, Qingtang Jiang +1

In nature and engineering world, the acquired signals are usually affected by multiple complicated factors and appear as multicomponent nonstationary modes. In such and many other…

cs.LG2020★ 4 cited

Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data

Charles K. Chui, Ningning Han, Hrushikesh N. Mhaskar

This paper is concerned with the inverse problem of recovering the unknown signal components, along with extraction of their instantaneous frequencies (IFs), governed by the adapti…