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Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior

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Datasets

Greatest papers with code

Provable Dynamic Robust PCA or Robust Subspace Tracking

24 May 2017andrewssobral/lrslibrary

Dynamic robust PCA refers to the dynamic (time-varying) extension of robust PCA (RPCA).

COMPRESSIVE SENSING

One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

29 Mar 2017rick-chang/OneNet

On the other hand, traditional methods using signal priors can be used in all linear inverse problems but often have worse performance on challenging tasks.

COMPRESSIVE SENSING IMAGE INPAINTING SUPER-RESOLUTION

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

CVPR 2018 jianzhangcs/ISTA-Net-PyTorch

With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categories of CS methods: the structure insights of traditional optimization-based methods and the speed of recent network-based ones.

COMPRESSIVE SENSING

DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing

12 Jul 2016miliadis/DeepVideoCS

In this paper, we propose a novel encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing.

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING VIDEO RECONSTRUCTION

Deep Fully-Connected Networks for Video Compressive Sensing

16 Mar 2016miliadis/DeepVideoCS

In this work we present a deep learning framework for video compressive sensing.

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING

Sparse Depth Sensing for Resource-Constrained Robots

4 Mar 2017sparse-depth-sensing/sparse-depth-sensing

We address the following question: is it possible to reconstruct the geometry of an unknown environment using sparse and incomplete depth measurements?

COMPRESSIVE SENSING DEPTH ESTIMATION

Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

NeurIPS 2018 TAMU-VITA/LISTA-CPSS

In this work, we study unfolded ISTA (Iterative Shrinkage Thresholding Algorithm) for sparse signal recovery.

COMPRESSIVE SENSING

One Network to Solve Them All -- Solving Linear Inverse Problems Using Deep Projection Models

ICCV 2017 image-science-lab/OneNet

While deep learning methods have achieved state-of-the-art performance in many challenging inverse problems like image inpainting and super-resolution, they invariably involve problem-specific training of the networks.

COMPRESSIVE SENSING IMAGE INPAINTING SUPER-RESOLUTION

A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

16 Aug 2018FWen/ncreg

In recent, nonconvex regularization based sparse and low-rank recovery is of considerable interest and it in fact is a main driver of the recent progress in nonconvex and nonsmooth optimization.

COMPRESSIVE SENSING MATRIX COMPLETION VARIABLE SELECTION

CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing

15 Dec 2016PSCLab-ASU/CSVideoNet

This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS).

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING