research
∙
09/10/2023
One-Bit-Aided Modulo Sampling for DOA Estimation
Modulo sampling or unlimited sampling has recently drawn a great deal of...
share
research
∙
10/19/2022
CFAR based NOMP for Line Spectral Estimation and Detection
The line spectrum estimation problem is considered in this paper. We pro...
research
∙
10/17/2022
A Unitary Transform Based Generalized Approximate Message Passing
We consider the problem of recovering an unknown signal 𝐱∈ℝ^n from gener...
research
∙
09/05/2022
Numerical analysis of growth-mediated autochemotactic pattern formation in self-propelling bacteria
In this paper, a decoupled characteristic Galerkin finite element proced...
research
∙
09/04/2022
Hybrid mixed discontinuous Galerkin finite element method for incompressible wormhole propagation problem
Wormhole propagation plays a very important role in the product enhancem...
research
∙
09/04/2022
Hybrid mixed discontinuous Galerkin finite element method for incompressible miscible displacement problem
A new hybrid mixed discontinuous Galerkin finite element (HMDGFE) method...
research
∙
02/28/2022
A Machine Learning Generative Method for Automating Antenna Design and Optimization
To facilitate the antenna design with the aid of computer, one of the pr...
research
∙
07/15/2021
Joint CFO, Gridless Channel Estimation and Data Detection for Underwater Acoustic OFDM Systems
In this paper, we propose an iterative receiver based on gridless variat...
research
∙
07/12/2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
State-of-the-art image denoisers exploit various types of deep neural ne...
research
∙
09/03/2020
An optimal convergence analysis of the hybrid Raviart-Thomas mixed discontinuous Galerkin method for the Helmholtz equation
The hybrid Raviart-Thomas mixed discontinuous Galerkin (HRTMDG) method i...
research
∙
12/26/2019
Multidimensional Variational Line Spectra Estimation
The fundamental multidimensional line spectral estimation problem is add...
research
∙
11/22/2019
Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning
The recovery of a low rank matrix from a subset of noisy low-precision q...
research
∙
08/01/2019
MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network
IP protocol is the core of TCP/IP network layer. However, since IP addre...
research
∙
07/22/2019
Expectation Propagation Line Spectral Estimation
Line spectral estimation (LSE) is a fundamental problem in signal proces...
research
∙
06/17/2019
The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks
The Internet has become the most important infrastructure of modern soci...
research
∙
06/03/2019
Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs
Employing low-resolution analog-to-digital converters (ADCs) coupled wit...
research
∙
05/23/2019
One-bit LFMCW Radar: Spectrum Analysis and Target Detection
One-bit radar involving direct one-bit sampling is a promising technolog...
research
∙
01/18/2019
Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications
The rapid increasing demand of wireless transmission has incurred mobile...
research
∙
11/14/2018
Off-grid Variational Bayesian Inference of Line Spectral Estimation from One-bit Samples
In this paper, the line spectral estimation (LSE) problem is studied fro...
research
∙
10/18/2018
Bilinear Adaptive Generalized Vector Approximate Message Passing
This paper considers the generalized bilinear recovery problem which aim...
research
∙
05/14/2018
A Two-stage Approach to Estimate CFO and Channel with One-bit ADCs
In this paper, we propose a two-stage approach to estimate the carrier f...
research
∙
05/08/2018
Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing
In this letter, a binary sparse Bayesian learning (BSBL) algorithm is pr...
research
∙
05/08/2018
Asymptotically Optimal One-Bit Quantizer Design for Weak-signal Detection in Generalized Gaussian Noise and Lossy Binary Communication Channel
In this paper, quantizer design for weak-signal detection under arbitrar...
research
∙
03/17/2018
Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors
In this paper, the line spectral estimation (LSE) problem with multiple ...
research
∙
02/05/2018
Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors
A Newtonized orthogonal matching pursuit (NOMP) algorithm is proposed to...
research
∙
12/29/2017
