Deep learning for compressive sensing: a ubiquitous systems perspective
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning for compressive sensing: a ubiquitous systems perspective
Authors
Keywords
-
Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-09-07
DOI
10.1007/s10462-022-10259-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A gradient-type noise-tolerant finite-time neural network for convex optimization
- (2022) Dan Wang et al. NEUROCOMPUTING
- Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
- (2021) Vishal Monga et al. IEEE SIGNAL PROCESSING MAGAZINE
- Deep learning speeds MRI scans
- (2021) Paul Marks COMMUNICATIONS OF THE ACM
- CSNet: A deep learning approach for ECG compressed sensing
- (2021) Hongpo Zhang et al. Biomedical Signal Processing and Control
- Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
- (2021) Matthew J. Muckley et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A comprehensive survey on model compression and acceleration
- (2020) Tejalal Choudhary et al. ARTIFICIAL INTELLIGENCE REVIEW
- Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network
- (2020) Cheolsun Kim et al. SENSORS
- Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets
- (2020) Zaccharie Ramzi et al. Applied Sciences-Basel
- A Brain–Computer Interface Framework Based on Compressive Sensing and Deep Learning
- (2020) Ritu Ranjan Shrivastwa et al. IEEE Consumer Electronics Magazine
- Trends in Compressive Sensing for EEG Signal Processing Applications
- (2020) Dharmendra Gurve et al. SENSORS
- Why Should We Add Early Exits to Neural Networks?
- (2020) Simone Scardapane et al. Cognitive Computation
- Signal-Processing Framework for Ultrasound Compressed Sensing Data: Envelope Detection and Spectral Analysis
- (2020) Yisak Kim et al. Applied Sciences-Basel
- A deep unrolling network inspired by total variation for compressed sensing MRI
- (2020) Xiaohua Zhang et al. DIGITAL SIGNAL PROCESSING
- Wireless Transmission Method for Large Data Based on Hierarchical Compressed Sensing and Sparse Decomposition
- (2020) Youtian Qie et al. SENSORS
- Adaptive Iterated Shrinkage Thresholding-Based Lp-Norm Sparse Representation for Hyperspectral Imagery Target Detection
- (2020) Xiaobin Zhao et al. Remote Sensing
- An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
- (2020) Chen Chen et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Design and development methodologies of Kkongalmon, a location-based augmented reality game using mobile geographic information
- (2019) DongHyun Youm et al. EURASIP Journal on Image and Video Processing
- Federated Machine Learning
- (2019) Qiang Yang et al. ACM Transactions on Intelligent Systems and Technology
- Recurrent Neural Network-Based Dictionary Learning for Compressive Speech Sensing
- (2019) Yunyun Ji et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
- (2019) Hantao Yao et al. NEUROCOMPUTING
- Signal Reconstruction of Compressed Sensing Based on Alternating Direction Method of Multipliers
- (2019) Yanliang Zhang et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Trainable ISTA for Sparse Signal Recovery
- (2019) Daisuke Ito et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Online reconstruction-free single-pixel image classification
- (2019) Pedro Latorre-Carmona et al. IMAGE AND VISION COMPUTING
- Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory
- (2019) Xuesong Li et al. NEUROCOMPUTING
- Coupled Deep Learning Coded Aperture Design for Compressive Image Classification
- (2019) Jorge Bacca et al. OPTICS EXPRESS
- Soybean yield prediction from UAV using multimodal data fusion and deep learning
- (2019) Maitiniyazi Maimaitijiang et al. REMOTE SENSING OF ENVIRONMENT
- Compressed sensing in wireless sensor networks under complex conditions of Internet of things
- (2018) Shuo Xiao et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Deep fully-connected networks for video compressive sensing
- (2018) Michael Iliadis et al. DIGITAL SIGNAL PROCESSING
- DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
- (2018) Guang Yang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
- (2018) Jo Schlemper et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Combined speech compression and encryption using chaotic compressive sensing with large key size
- (2018) Maher K. Mahmood Al-Azawi et al. IET Signal Processing
- Deep learning with domain adaptation for accelerated projection-reconstruction MR
- (2018) Yoseob Han et al. MAGNETIC RESONANCE IN MEDICINE
- A neural dynamic system for solving convex nonlinear optimization problems with hybrid constraints
- (2018) Xinjian Huang et al. NEURAL COMPUTING & APPLICATIONS
- A sparse autoencoder compressed sensing method for acquiring the pressure array information of clothing
- (2018) Tao Han et al. NEUROCOMPUTING
- Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints
- (2018) Mark Chiew et al. NEUROIMAGE
- CS-CNN: Enabling Robust and Efficient Convolutional Neural Networks Inference for Internet-of-Things Applications
- (2018) Yiran Shen et al. IEEE Access
- Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements
- (2018) Vanika Singhal et al. IEEE Access
- A non-convex regularization approach for compressive sensing
- (2018) Ya-Ru Fan et al. ADVANCES IN COMPUTATIONAL MATHEMATICS
- Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI
- (2018) Morteza Mardani et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
- (2018) IEEE TRANSACTIONS ON MEDICAL IMAGING
- Fully convolutional measurement network for compressive sensing image reconstruction
- (2018) Jiang Du et al. NEUROCOMPUTING
- Deterministic constructions of compressed sensing matrices based on codes
- (2018) Gang Wang et al. Cryptography and Communications-Discrete-Structures Boolean Functions and Sequences
- Robust image compressive sensing based on half-quadratic function and weighted schatten-p norm
- (2018) Lei Feng et al. INFORMATION SCIENCES
- ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
- (2018) Yan Yang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization
- (2017) Yao Wang et al. IEEE Geoscience and Remote Sensing Letters
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- AMP-Inspired Deep Networks for Sparse Linear Inverse Problems
- (2017) Mark Borgerding et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing
- (2017) Luisa F. Polania et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing
- (2017) Teng Ma et al. JOURNAL OF NEUROSCIENCE METHODS
- Learning a variational network for reconstruction of accelerated MRI data
- (2017) Kerstin Hammernik et al. MAGNETIC RESONANCE IN MEDICINE
- An Efficient Distributed Compressed Sensing Algorithm for Decentralized Sensor Network
- (2017) et al. SENSORS
- Compressive 3D ultrasound imaging using a single sensor
- (2017) Pieter Kruizinga et al. Science Advances
- From Denoising to Compressed Sensing
- (2016) Christopher A. Metzler et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Distributed Compressive Sensing: A Deep Learning Approach
- (2016) Hamid Palangi et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Signal reconstruction of compressed sensing based on recurrent neural networks
- (2016) Yuan-Min Li et al. OPTIK
- A Deep Learning Framework of Quantized Compressed Sensing for Wireless Neural Recording
- (2016) Biao Sun et al. IEEE Access
- Embedding Prior Knowledge Within Compressed Sensing by Neural Networks
- (2011) Dany Merhej et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Message-passing algorithms for compressed sensing
- (2009) David L. Donoho et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- (2009) Amir Beck et al. SIAM Journal on Imaging Sciences
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started