LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "deep unfolding" as a keyword



Photo from wikipedia

Research on deep unfolding network reconstruction method based on scalable sampling of transient signals

Sign Up to like & get
recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-79466-0

Abstract: In order to solve the problems of long reconstruction time and low reconstruction accuracy of compressed sensing reconstruction algorithm in the measurement of transient signals, a deep unfolding network reconstruction method based on scalable sampling… read more here.

Keywords: scalable sampling; method; deep unfolding; reconstruction ... See more keywords

PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3206814

Abstract: Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical-based and data-driven approaches. The former is sensitive to model inaccuracies in evolving network environment, while the latter (machine learning (ML)/deep learning (DL)… read more here.

Keywords: network; detnet; cognitive radio; deep unfolding ... See more keywords

State Estimation in Power Distribution Grids Using Deep Unfolding

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3579768

Abstract: The power distribution network has undergone significant changes in recent years, primarily due to the integration of renewable energy sources and electric vehicles. These changes have led to new challenges in distribution grid management, which… read more here.

Keywords: deep unfolding; state estimation; distribution; network ... See more keywords
Photo from wikipedia

Single Pixel Imaging Based on Multiple Prior Deep Unfolding Network

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Photonics Journal"

DOI: 10.1109/jphot.2024.3420787

Abstract: Single-pixel imaging (SPI), an imaging technique based on the theory of compressed sensing, is limited in real-time imaging and high-resolution images due to its relatively slow imaging speed. In recent years, deep unfolding network compressed… read more here.

Keywords: multiple prior; deep unfolding; reconstruction; single pixel ... See more keywords

A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Sensing Over Wireless Networks

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2024.3414626

Abstract: Future wireless networks are envisioned to provide ubiquitous sensing services, driving a substantial demand for multi-dimensional non-convex parameter estimation. This entails dealing with non-convex likelihood functions containing numerous local optima. Variational Bayesian inference (VBI) provides… read more here.

Keywords: bayesian inference; deep unfolding; wireless networks; particle ... See more keywords

A Deep-Unfolding-Optimized Coordinate-Descent Data-Detector ASIC for mmWave Massive MIMO

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2025.3531558

Abstract: We present a 22nm FD-SOI (fully depleted silicon-on-insulator) application-specific integrated circuit (ASIC) implementation of a novel soft-output Gram-domain block coordinate descent (GBCD) data detector for massive multi-user (MU) multiple-input multiple-output (MIMO) systems. The ASIC simultaneously… read more here.

Keywords: detector asic; coordinate descent; deep unfolding; data detector ... See more keywords

Deep Unfolding Network for PAPR Reduction in Multicarrier OFDM Systems

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3195042

Abstract: In this letter, we propose a Deep Unfolding Network called PR-DUN to reduce the peak-to-average power ratio (PAPR), which is a thorny problem in Orthogonal Frequency-Division Multiplexing (OFDM) systems. The proposed multi-layer model is constructed… read more here.

Keywords: ofdm systems; unfolding network; papr reduction; deep unfolding ... See more keywords

Deep Unfolding-Based Joint Beamforming and Detection Design for Ambient Backscatter Communications With IRS

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2023.3243728

Abstract: In this letter, we investigate a novel ambient backscatter communication (AmBC) system in which an intelligent reflecting surface (IRS) acts as a passive transmitter to communicate with a reader. We are interested in the joint… read more here.

Keywords: design; detection; ambient backscatter; deep unfolding ... See more keywords

A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3600648

Abstract: Weighted Minimum Mean Square Error (WMMSE) precoding can achieve near-optimal weighted sum rate (WSR) in MU-MIMO-OFDM systems, but it suffers from high computational complexity and severe dependence on accurate channel state information (CSI). This letter… read more here.

Keywords: deep unfolding; driven deep; network; wmmse ... See more keywords

Beamforming Designs for Hybrid Relaying in mmWave Systems Based on Deep Unfolding

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3567030

Abstract: In this paper, an efficient hybrid beamforming scheme is proposed for the relay node in mmWave relay systems based on deep unfolding. The optimal digital beamformer at the relay node is decomposed into an analog-digital-analog… read more here.

Keywords: based deep; designs hybrid; deep unfolding; systems based ... See more keywords

Multi-Algorithm Deep Unfolding With Application to Foreground Detection

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3618508

Abstract: Deep learning models have achieved impressive results across various image processing and computer vision tasks. However, they often require large datasets, lack transparency, and struggle to incorporate expert knowledge. Deep unfolding offers a solution for… read more here.

Keywords: foreground detection; deep unfolding; algorithm deep; model ... See more keywords