Robuta

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