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Basis pursuit
Basis pursuit is the mathematical optimization problem of the form: where x is a N × 1 solution vector (signal), y is a M × 1 vector of observations…
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Related topics
Related topics
11 relations
Augmented Lagrangian method
Basis pursuit denoising
Compressed sensing
Least-squares spectral analysis
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Broader (1)
Constraint programming
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Greedy pursuits assisted basis pursuit for compressive sensing
S. Narayanan
,
S. K. Sahoo
,
A. Makur
European Signal Processing Conference
2015
Corpus ID: 7258421
Fusion based Compressive Sensing (CS) reconstruction algorithms combine multiple CS reconstruction algorithms, which worked with…
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2015
2015
The Quest for Visual Interest
M. Soleymani
ACM Multimedia
2015
Corpus ID: 8207995
In this paper, we report on identifying the underlying factors that contribute to the visual interest in digital photos. A set of…
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2015
2015
New Robust Estimators of Correlation and Weighted Basis Pursuit
P. Tamburello
,
L. Mili
IEEE Transactions on Signal Processing
2015
Corpus ID: 1706146
The autocorrelation function is a commonly used tool in statistical time series analysis. In this paper we examine the robustness…
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2014
2014
First-order optimality condition of basis pursuit denoise problem
Wei Zhu
,
Shi Shu
,
Li-zhi Cheng
Applied Mathematics and Mechanics
2014
Corpus ID: 218731890
A new first-order optimality condition for the basis pursuit denoise (BPDN) problem is derived. This condition provides a new…
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2014
2014
A Range-Free Multiple Target Localization Algorithm Using Compressive Sensing Theory in Wireless Sensor Networks
Liping Liu
,
Tingting Cui
,
Weijie Lv
IEEE 11th International Conference on Mobile Ad…
2014
Corpus ID: 22772456
Considering the incompleteness of localization information in wireless sensor networks, the sensor network monitoring region was…
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2012
2012
Chemical plume detection in hyperspectral imagery via joint sparse representation
Minh Dao
,
D. Nguyen
,
T. Tran
,
S. Chin
IEEE Military Communications Conference
2012
Corpus ID: 26307613
In this paper, we propose a new spatial-temporal joint sparsity method for the identification and detection of chemical plume in…
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2011
2011
Verifiable and computable ℓ∞ performance evaluation of ℓ1 sparse signal recovery
Gongguo Tang
,
A. Nehorai
Annual Conference on Information Sciences and…
2011
Corpus ID: 11829348
In this paper, we develop verifiable and computable performance analysis of the ℓ∞ norms of the recovery errors for ℓ1…
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2011
2011
Robust reconstruction of compressively sensed ECG signals
Nicolae Cleju
,
M. Fira
,
C. Barabasa
,
L. Goras
International Symposium on Signals, Circuits and…
2011
Corpus ID: 33749422
This paper presents a robust reconstruction technique of electrocardiograph (ECG) signals in a compressed sensing based…
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2009
2009
Basis pursuit with sequential measurements and time varying signals
M. Salman Asif
,
J. Romberg
IEEE International Workshop on Computational…
2009
Corpus ID: 5756523
Recovery of sparse signals from linear measurements arises in several signal processing applications. Basis pursuit is a standard…
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2009
2009
Simultaneously solving seven optimization problems in relative scale
Peter Richtárik
2009
Corpus ID: 16835245
In this paper we develop and analyze an efficient algorithm which solves seven related optimization problems simultaneously, in…
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