SelectedWorks - Qingtang Jiang

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Faculty Selected Works of Qingtang Jiang

Professor | jiangq@umsl.edu | 314-516-6358

Qingtang Jiang is a professor in the Department of Mathematics and Statistics at the University of Missouri-St. Louis.

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About Qingtang Jiang

Qingtang Jiang is a professor in the Department of Mathematics and Statistics at the University of Missouri-St. Louis.

Instantaneous frequency-embedded synchrosqueezing transform for signal separation

Frontiers in Applied Mathematics and Statistics - Mathematics of Computation and Data Science (2022)

Qingtang Jiang, Ashley Prater-Bennette, Bruce W. Suter and Abdelbaset Zeyani

The synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme ...

Rician Noise Removal via a Learned Dictionary

Mathematical Problems in Engineering (2019)

Qingtang Jiang, Jian Lu, Jiapeng Tian, Lixin Shen, et al.

This paper proposes a new effective model for denoising images with Rician noise. The sparse representations of images have been ...

A Tree-Based Multiscale Regression Method

Frontiers in Applied Mathematics and Statistics (2018)

Haiyan Cai and Qingtang Jiang

A tree-based method for regression is proposed. In a high dimensional feature space, the method has the ability to adapt ...

Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond

Multiscale Modeling & Simulation (2017)

Bin Dong, Qingtang Jiang and Zuowei Shen

In the past few decades, mathematics based approaches have been widely adopted in various image restoration problems, among which the ...

Synchrosqueezing transform meets α-stable distribution: An adaptive fractional lower-order SST ...

Signal Processing (2022)

Lin Li, Xiaorui Yu, Qingtang Jiang, Bo Zang, et al.

Most of the noises in practice are non-Gaussian and presented as impulsive phenomena. Impulsive noise brings enormous difficulties for signal ...

An Effective Video Transformer With Synchronized Spatiotemporal and Spatial Self-Attention ...

IEEE Transactions on Neural Networks and Learning Systems (2022)

Saghir Alfasly, Charles K. Chui, Qingtang Jiang, Jian Lu, et al.

Convolutional neural networks (CNNs) have come to dominate vision-based deep neural network structures in both image and video models over ...

A chirplet transform-based mode retrieval method for multicomponent signals with ...

Digital Signal Processing (2022)

Lin Li, Ningning Han, Qingtang Jiang and Charles K. Chui

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

Instantaneous frequency-embedded synchrosqueezing transform for signal separation

Frontiers in Applied Mathematics and Statistics - Mathematics of Computation and Data Science (2022)

Qingtang Jiang, Ashley Prater-Bennette, Bruce W. Suter and Abdelbaset Zeyani

The synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme ...

Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation ...

Journal of Computational and Applied Mathematics (2021)

Charles K. Chui, Qingtang Jiang, Lin Li and Jian Lu

Recently, a direct method of the time--frequency approach, called the signal separation operator (SSO), which is based on sinusoidal signal ...

Time-scale-chirprate operator for recovery of non-stationary signal components with crossover ...

Applied and Computational Harmonic Analysis (2021)

Charles K. Chui, Qingtang Jiang, Lin Li and Jian Lu

The objective of this paper is to introduce an innovative approach for the recovery of non-stationary signal components with possibly ...

A second-order synchrosqueezing transform with a simple form of phase ...

Numerical Mathematics: Theory, Methods and Applications (2021)

Jian Lu, Jawaher H. Alzahrani and Qingtang Jiang

To model a non-stationary signal as a superposition of amplitude and frequency-modulated Fourier-like oscillatory modes is important to extract information, ...

Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform

Analysis and Applications (2021)

Haiyan Cai, Qingtang Jiang, Lin Li and Bruce W Suter

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

Correspondence between multiwavelet shrinkage and nonlinear diffusion

Journal of Computational and Applied Mathematics (2021)

Qingtang Jiang and Hanan Alkhidhr

Wavelet/frame shrinkage and nonlinear diffusion filtering are two popular methods for signal and image denoising. The relationship between these two ...

No TitleNonlocal low-rank regularized two-phase approach for mixed noise removal

Inverse Problems (2021)

Chen Xu, Xiaoxia Liu, Jian Zheng, Lixin Shen, et al.

Removing mixed noise in images is a difficult problem which has been discussed in many recent papers. In this paper, ...

Rician noise removal via weighted nuclear norm penalization

Applied and Computational Harmonic Analysis (2021)

Jian Lu, J.P. Tian, Qingtang Jiang, Xiaoxia Liu, et al.

Magnetic Resonance Imaging (MRI) is one of the most important techniques in medical imaging and Rician noise is a common ...

Signal separation based on adaptive continuous wavelet-like transform and analysis

Applied and Computational Harmonic Analysis (2021)

Charles K. Chui, Qingtang Jiang, Lingjuan Leng and Jian Lu

In nature and the technology world, acquired signals and time series are usually affected by multiple complicated factors and appear ...

Two‐sample test based on classification probability

Statistical Analysis and Data Mining (2020)

Haiyan Cai, Bryan Goggin and Qingtang Jiang

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

Signal Processing (2020)

Lin Li, Haiyan Cai, Hongxia Han, Qingtang Jiang, et al.

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

Applied and Computational Harmonic Analysis (2019)

Lin Li, Haiyan Cai and Qingtang Jiang

An empirical signal separation algorithm for multicomponent signals based on ...

Mechanical Systems and Signal Processing (2019)

Lin Li, Lin Li, Haiyan Cai, Qingtang Jiang, et al.

Rician Noise Removal via a Learned Dictionary

Mathematical Problems in Engineering (2019)

Qingtang Jiang, Jian Lu, Jiapeng Tian, Lixin Shen, et al.

This paper proposes a new effective model for denoising images with Rician noise. The sparse representations of images have been ...

A Tree-Based Multiscale Regression Method

Frontiers in Applied Mathematics and Statistics (2018)

Haiyan Cai and Qingtang Jiang

A tree-based method for regression is proposed. In a high dimensional feature space, the method has the ability to adapt ...

Time-varying Parameter-based Synchrosqueezing Wavelet Transform with the Approximation of Cubic ...

International Conference on Signal Processing (2018)

Lin Li, Zhihui Wang, Haiyan Cai, Qingtang Jiang, et al.

Symmetric Canonical Quincunx Tight Framelets with High Vanishing Moments and ...

Mathematics of Computation (2018)

Qingtang Jiang, Bin Han, Zuowei Shen and Xiaosheng Zhuang

Instantaneous Frequency Estimation Based on Synchrosqueezing Wavelet Transform

Signal Processing (2017)

Qingtang Jiang and Bruce W. Suter

Recently, the synchrosqueezing transform (SST) was developed as an alternative to the empirical mode decomposition scheme to separate a non-stationary ...