https://deepai.org/publication/full-image-recover-for-block-based-compressive-sensing
Full Image Recover for Block-Based Compressive Sensing | DeepAI
Feb 1, 2018 - 02/01/18 - Recent years, compressive sensing (CS) has improved greatly for the application of deep learning technology. For convenience, the ...
full imagecompressive sensingrecoverblockbased
https://arxiv.org/abs/1402.6932
[1402.6932] Low-Cost Compressive Sensing for Color Video and Depth
Abstract page for arXiv paper 1402.6932: Low-Cost Compressive Sensing for Color Video and Depth
low costcompressive sensingcolor video14026932
https://www.mdpi.com/1424-8220/22/19/7172
Video Compressive Sensing Reconstruction Using Unfolded LSTM
Video compression sensing can use a few measurements to obtain the original video by reconstruction algorithms. There is a natural correlation between video...
compressive sensingvideoreconstructionusingunfolded
https://anr.fr/en/funded-projects-and-impact/funded-projects/project/funded/project/b2d9d3668f92a3b9fbbf7866072501ef-b48636c114/?tx_anrprojects_funded%5Bcontroller%5D=Funded&cHash=ccf3c5256dded088ef51d58e55d3fb0a
Beyond compressive sensing: sparse approximation algorithms for ill-condioned inverse problems | ANR
compressive sensingsparse approximation
https://arxiv.org/abs/0812.4627
[0812.4627] Bayesian Compressive Sensing via Belief Propagation
Abstract page for arXiv paper 0812.4627: Bayesian Compressive Sensing via Belief Propagation
compressive sensing08124627bayesianvia
https://deepai.org/publication/perceptual-compressive-sensing
Perceptual Compressive Sensing | DeepAI
Feb 1, 2018 - 02/01/18 - This paper proposes perceptual compressive sensing. The network is composed of a fully convolutional measurement and reconstructio...
compressive sensingperceptualdeepai
https://deepai.org/publication/robust-deep-compressive-sensing-with-recurrent-residual-structural-constraints
Robust Deep Compressive Sensing with Recurrent-Residual Structural Constraints | DeepAI
Jul 15, 2022 - 07/15/22 - Existing deep compressive sensing (CS) methods either ignore adaptive online optimization or depend on costly iterative optimizer ...
compressive sensingrobustdeeprecurrentresidual
https://arxiv.org/abs/1801.05870
[1801.05870] Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
Abstract page for arXiv paper 1801.05870: Quantized Compressive Sensing with RIP Matrices: The Benefit of Dithering
compressive sensing
https://www.mdpi.com/1424-8220/23/4/2269
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and...
Compressive sensing (CS) has been proposed as a disruptive approach to developing a novel class of optical instrumentation used in diverse application domains....
compressive sensingimaging spectrometeruv vis
https://www.mdpi.com/1424-8220/20/19/5666
Image Compressive Sensing via Hybrid Nonlocal Sparsity Regularization
This paper focuses on image compressive sensing (CS). As the intrinsic properties of natural images, nonlocal self-similarity and sparse representation have...
compressive sensingimageviahybridnonlocal
https://www.omicsonline.org/open-access/compressive-sensing-realtime-data-acquisition-and-analysis-forbiosensors-and-biomedical-instrumentation-2090-4967-1000e105.php?aid=77339
Compressive Sensing: Real-time Data Acquisition and Analysis for Biosensors and Biomedical...
Janet M. Roveda and Linda S. Powers-Compressive Sensing: Real-time Data Acquisition and Analysis for Biosensors and Biomedical Instrumentation
real time datacompressive sensing
https://deepai.org/publication/fully-convolutional-measurement-network-for-compressive-sensing-image-reconstruction
Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction | DeepAI
Nov 21, 2017 - 11/21/17 - Recently, deep learning methods have made a significant improvement in com- pressive sensing image reconstruction task. However, i...
compressive sensingimage reconstructionfullymeasurementnetwork
https://www.atlantis-press.com/proceedings/mmebc-16/25858784
SAR Imaging Based on Compressive Sensing via Fractional Fourier Transform | Atlantis Press
To reduce the amount of measurements, compressive sensing (CS) has been introduced to synthetic aperture radar (SAR). In this paper a novel synthetic aperture...
fractional fourier transformcompressive sensing
https://arxiv.org/abs/2306.16060
[2306.16060] Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
Abstract page for arXiv paper 2306.16060: Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
230616060dynamicpathcontrollable
https://deepai.org/publication/a-data-driven-approach-to-sampling-matrix-selection-for-compressive-sensing
A data-driven approach to sampling matrix selection for compressive sensing | DeepAI
Jun 20, 2019 - 06/20/19 - Sampling is a fundamental aspect of any implementation of compressive sensing. Typically, the choice of sampling method is guided ...
a data
https://arxiv.org/abs/1704.08013
[1704.08013] Replica Symmetry Breaking in Compressive Sensing
Abstract page for arXiv paper 1704.08013: Replica Symmetry Breaking in Compressive Sensing
symmetry breaking170408013replicacompressive
https://www.inderscience.com/info/inarticle.php?artid=63904
Article: A review of the state-of-the-art distributed compressive video sensing architectures...
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,...
a reviewof the