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0804.0819
Cited By
Kalman Filtered Compressed Sensing
4 April 2008
Namrata Vaswani
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Papers citing
"Kalman Filtered Compressed Sensing"
28 / 28 papers shown
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
Nazmul Karim
Alireza Zaeemzadeh
Nazanin Rahnavard
212
5
0
02 Jul 2021
Metalearning: Sparse Variable-Structure Automata
Pedram Fekri
A. Safavi
M. Zadeh
P. Setoodeh
170
0
0
30 Jan 2021
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
Hung Duy Le
Huynh Van Luong
Nikos Deligiannis
188
15
0
18 Feb 2019
Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications
A. Kazemipour
253
3
0
28 Jun 2018
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity
Chitta Ranjan
Samaneh Ebrahimi
K. Paynabar
151
0
0
23 Oct 2016
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution
A. Kazemipour
Ji Liu
P. Kanold
Min Wu
B. Babadi
185
4
0
20 Oct 2016
Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization
IEEE Transactions on Signal Processing (IEEE TSP), 2015
Adam S. Charles
A. Balavoine
Christopher Rozell
AI4TS
213
44
0
22 Jul 2015
FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared
H. G. Chen
M. Salman Asif
Aswin C. Sankaranarayanan
Ashok Veeraraghavan
210
65
0
16 Apr 2015
A Novel Sparsity-Based Approach to Recursive Estimation of Dynamic Parameter Sets
Ashkan Panahi
M. Viberg
172
0
0
02 Apr 2015
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction
João F. C. Mota
Nikos Deligiannis
Aswin C. Sankaranarayanan
Volkan Cevher
M. Rodrigues
216
13
0
11 Mar 2015
Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models
Aswin C. Sankaranarayanan
Lina Xu
Christoph Studer
Yun Li
K. Kelly
Richard G. Baraniuk
268
52
0
09 Mar 2015
Adaptive-Rate Compressive Sensing Using Side Information
IEEE Transactions on Image Processing (TIP), 2014
Garrett A. Warnell
S. Bhattacharya
Rama Chellappa
Tamer Basar
247
49
0
03 Jan 2014
Sparse Recovery of Streaming Signals Using L1-Homotopy
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2013
M. Salman Asif
Justin Romberg
208
158
0
14 Jun 2013
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach
Information Theory Workshop (ITW), 2013
Cem Aksoylar
George Atia
Venkatesh Saligrama
544
58
0
02 Apr 2013
Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation
Aleksandr Aravkin
J. Burke
G. Pillonetto
298
59
0
08 Mar 2013
PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual Tracking across Illumination Change
Rituparna Sarkar
Samarjit Das
Namrata Vaswani
149
4
0
08 Jan 2013
Efficient algorithms for robust recovery of images from compressed data
Duc-Son Pham
Svetha Venkatesh
169
45
0
26 Nov 2012
Re-Weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation
Adam S. Charles
Christopher Rozell
484
12
0
01 Aug 2012
Dynamic Iterative Pursuit
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2012
Dave Zachariah
Saikat Chatterjee
M. Jansson
152
28
0
12 Jun 2012
Sparsity-Promoting Bayesian Dynamic Linear Models
François Caron
L. Bornn
Arnaud Doucet
295
7
0
01 Mar 2012
Compressive Acquisition of Dynamic Scenes
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2012
Aswin C. Sankaranarayanan
Pavan Turaga
Rama Chellappa
Richard G Baraniuk
283
103
0
23 Jan 2012
Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements
IEEE Transactions on Image Processing (TIP), 2011
V. Thirumalai
P. Frossard
117
16
0
23 Nov 2011
Exact Reconstruction Conditions for Regularized Modified Basis Pursuit
Wei Lu
Namrata Vaswani
224
12
0
16 Aug 2011
Correlation Estimation from Compressed Images
Journal of Visual Communication and Image Representation (J. Vis. Commun. Image Represent.), 2011
V. Thirumalai
P. Frossard
198
19
0
23 Jul 2011
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
Zhilin Zhang
Bhaskar D. Rao
339
21
0
04 May 2011
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2011
Zhilin Zhang
Bhaskar D. Rao
320
815
0
19 Feb 2011
Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support
Namrata Vaswani
Wei Lu
1.1K
558
0
30 Mar 2009
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
IEEE Transactions on Signal Processing (IEEE TSP), 2008
Namrata Vaswani
255
58
0
01 May 2008
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