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1. Full Text Gradient Pursuits
by Blumensath, T and Davies, M.E
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2008, Volume 56, Issue 6, pp. 2370 - 2382
Sparse signal approximations have become a fundamental tool in signal processing with wide-ranging applications from source separation to signal acquisition.... 
Gradient methods | Conjugate gradient optimization | Dictionaries | Source separation | Noise reduction | Matching pursuit algorithms | orthogonal matching pursuit (OMP) | Bayesian methods | Signal processing algorithms | Signal processing | Approximation algorithms | matching pursuit (MP) | sparse representations/approximations | gradient optimization | Pursuit algorithms | Matching pursuit (MP) | Sparse representations/approximations | Orthogonal matching pursuit OMP | Gradient optimization | MATCHING PURSUITS | conjugate gradient optimization | SPARSE | matching pursuit (NIP) | ENGINEERING, ELECTRICAL & ELECTRONIC | Fourier analysis | Research | Vector analysis | Matching theory | Analysis | Studies | Algorithms | Conjugate gradient method | Matching | Approximation | Conjugate gradients | Strategy | Optimization
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2. Full Text Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise
by Ben-Haim, Z and Eldar, Y C and Elad, M
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2010, Volume 58, Issue 10, pp. 5030 - 5043
We consider the problem of estimating a deterministic sparse vector x 0 from underdetermined measurements A x 0 + w, where w represents white Gaussian noise... 
Algorithm design and analysis | sparse estimation | Dictionaries | oracle | Noise reduction | Matching pursuit algorithms | Basis pursuit | matching pursuit | Noise measurement | Dantzig selector | Computer science | Gaussian noise | Signal processing algorithms | Permission | Pursuit algorithms | thresholding algorithm | UNCERTAINTY RELATIONS | REPRESENTATIONS | STABLE RECOVERY | SIGNAL RECOVERY | ENGINEERING, ELECTRICAL & ELECTRONIC | L MINIMIZATION | PURSUIT | LASSO | Signal processing | Usage | Random noise theory | Distribution (Probability theory) | Innovations | Algorithms | Mathematical analysis | Coherence | Estimating | Gaussian | Vectors (mathematics) | Selectors
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3. Eye movement disorders
by Wong, Agnes M. F., 1968
2008, ISBN 9780195324266, xiv, 295
Eye | Movement disorders | Ocular Motility Disorders
Book
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4. Full Text Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
by Eldar, Yonina C and Kuppinger, Patrick and Bolcskei, Helmut
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2010, Volume 58, Issue 6, pp. 3042 - 3054
We consider efficient methods for the recovery of block-sparse signals-i.e., sparse signals that have nonzero entries occurring in clusters-from an... 
Wireless communication | Uncertainty | Matching pursuit algorithms | Clustering algorithms | Vectors | block-sparsity | Basis pursuit | matching pursuit | Sparse matrices | Pursuit algorithms | Equations | Compressed sensing | Block-sparsity | Matching pursuit | compressed sensing | REPRESENTATIONS | GROUP LASSO | UNION | PRINCIPLES | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Usage | Mathematical optimization | Analysis | Algorithms | Blocking | Clusters | Constants | Complement | Recovery
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5. Full Text Family, Career and Intellectual Pursuits of Full-Time Mothers in Selected Local Villages from one Province in the Philippines
by Leandro A. Dalhag (PhD) and Amorita A. Abillar and Mary Ann O. Florida
Asia Pacific Journal of Multidisciplinary Research, ISSN 2350-7756, 02/2019, Volume 7, Issue 1, pp. 114 - 124
This research aimed to determine the pursuits of full-time mothers in terms of family, career and their intellectual aspect. This provided information about... 
career pursuits | family pursuits | intellectual pursuits
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6. Full Text K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
by Aharon, M and Elad, M and Bruckstein, A
IEEE Transactions on Signal Processing, ISSN 1053-587X, 11/2006, Volume 54, Issue 11, pp. 4311 - 4322
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype... 
Algorithm design and analysis | Dictionaries | Matching pursuit algorithms | training | matching pursuit | basis pursuit | gain-shape VQ | Atom decomposition | Inverse problems | dictionary | Clustering algorithms | Prototypes | FOCUSS | vector quantization | Feature extraction | Iterative algorithms | codebook | Pursuit algorithms | Signal design | sparse representation | K-means | Training | Dictionary | Codebook | Vector quantization | Matching pursuit | K-SVD | Sparse representation | Basis pursuit | Gain-shape VQ | BASES | ATOMIC DECOMPOSITION | IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | MINIMIZATION | SELECTION | atom decomposition | Signal processing | Coding theory | Vector analysis | Analysis | Methods
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7. The neurology of eye movements
by Leigh, R. John and Zee, David S
2006, 4th ed., Contemporary neurology series, ISBN 9780195300901, Volume 70, x, 761
Eye | Diagnosis, Differential | Ocular Motility Disorders | Movements | Eye Movements | physiology | Diagnosis | Movement disorders
Book
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8. Full Text Sparse Channel Estimation for Multicarrier Underwater Acoustic Communication: From Subspace Methods to Compressed Sensing
by Berger, C.R and Shengli Zhou and Preisig, J.C and Willett, P
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2010, Volume 58, Issue 3, pp. 1708 - 1721
In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic... 
Doppler spread | Underwater communication | MUSIC | Dictionaries | Array signal processing | OFDM | Matching pursuit algorithms | Basis pursuit | Delay | ESPRIT | ICI | orthogonal matching pursuit | Channel estimation | Attenuation | Underwater acoustics | Compressed sensing | Pursuit algorithms | Orthogonal matching pursuit | SIGNAL RECOVERY | ENGINEERING, ELECTRICAL & ELECTRONIC | Monte Carlo method | Usage | Doppler effect | Analysis | Algorithms | Spreads | Mathematical models | Detection | Compressed | Channels | Doppler
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9. Full Text Optimized Projections for Compressed Sensing
by Elad, M
IEEE Transactions on Signal Processing, ISSN 1053-587X, 12/2007, Volume 55, Issue 12, pp. 5695 - 5702
Compressed sensing (CS) offers a joint compression and sensing processes, based on the existence of a sparse representation of the treated signal and a set of... 
Linear systems | optimized projections | Dictionaries | Error analysis | compressed sensing (CS) | Matching pursuit algorithms | mutual coherence | orthogonal matching pursuit (OMP) | Basis pursuit (BP) | sparse and redundant representations | Computer science | Signal processing | Iterative algorithms | Iterative methods | Compressed sensing | Pursuit algorithms | Orthogonal matching pursuit (OMP) | Sparse and redundant representations | Compressed sensing (CS) | Optimized projections | Mutual coherence | OFDM modulation | Optimization | basis pursuit (BP) | SPARSE | DICTIONARIES | ENGINEERING, ELECTRICAL & ELECTRONIC | Mathematical optimization | Data compression | Analysis | Functions, Orthogonal | Methods | Compressing | Projection | Representations | Detection | Compressed
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10. The neurology of eye movements
by Leigh, R. John and Zee, David S
1999, 3rd ed., Contemporary neurology series, ISBN 0195129733, Volume 55, x, 646
Eye | Diagnosis, Differential | Ocular Motility Disorders | Movements | Eye Movements | physiology | Diagnosis | Movement disorders
Book
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11. Full Text Greed is good: algorithmic results for sparse approximation
by Tropp, J.A
IEEE Transactions on Information Theory, ISSN 0018-9448, 10/2004, Volume 50, Issue 10, pp. 2231 - 2242
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparse approximation problem over redundant... 
Greedy algorithms | Sufficient conditions | Dictionaries | Matching pursuit algorithms | Signal processing | Approximation algorithms | Linear programming | Iterative algorithms | Approximation methods | Iterative methods | algorithms | iterative methods | BASES | REPRESENTATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | orthogonal matching pursuit (OMP) | linear programming | IDENTIFICATION | approximation methods | ENGINEERING, ELECTRICAL & ELECTRONIC | basis pursuit (BP) | PROJECTION PURSUIT REGRESSION | DICTIONARIES | PAIRS | Research | Information theory
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12. Pediatric ophthalmology and strabismus
by Wright, Kenneth W. 1950- (Kenneth Weston)
1995, ISBN 0815193599, xviii, 902
Ocular Motility Disorders | Strabismus | methods | in infancy & childhood | Ophthalmology | Eye Diseases | Pediatric ophthalmology
Book
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13. Full Text Theoretical Results on Sparse Representations of Multiple-Measurement Vectors
by Jie Chen and Xiaoming Huo
IEEE Transactions on Signal Processing, ISSN 1053-587X, 12/2006, Volume 54, Issue 12, pp. 4634 - 4643
The sparse representation of a multiple-measurement vector (MMV) is a relatively new problem in sparse representation. Efficient methods have been proposed.... 
Greedy algorithms | Dictionaries | Computational modeling | Matching pursuit algorithms | Predictive models | orthogonal matching pursuit (OMP) | Magnetic analysis | Basis pursuit | Sparse matrices | Equations | Analytical models | multiple-measurement vector (MMV) | Computational efficiency | sparse representation | Orthogonal matching pursuit (OMP) | Sparse representation | Multiple-measurement vector (MMV) | BASES | APPROXIMATION | ALGORITHMS | basis pursuit | ENGINEERING, ELECTRICAL & ELECTRONIC | DECOMPOSITIONS | RECOVERY | PURSUIT | UNCERTAINTY PRINCIPLES | MATRICES | SELECTION | ENTRIES | Signal processing | Vector spaces | Analysis | Functions, Orthogonal | Methods | Studies | Mathematical analysis | Criteria | Matrix theory | Representations | Vectors (mathematics) | Joints
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14. Full Text Stable recovery of sparse overcomplete representations in the presence of noise
by Donoho, D.L and Elad, M and Temlyakov, V.N
IEEE Transactions on Information Theory, ISSN 0018-9448, 01/2006, Volume 52, Issue 1, pp. 6 - 18
Overcomplete representations are attracting interest in signal processing theory, particularly due to their potential to generate sparse representations of... 
stepwise regression | Dictionaries | Stability | Matching pursuit algorithms | Vectors | Noise generators | Basis pursuit | matching pursuit | Signal representations | overcomplete representation | Noise level | Kruskal rank | Signal processing algorithms | Linear algebra | superresolution | Signal processing | incoherent dictionary | greedy approximation | sparse representation | Stepwise regression | Greedy approximation | Superresolution | Incoherent dictionary | Matching pursuit | Sparse representation | Overcomplete representation | BASES | APPROXIMATION | RECONSTRUCTION | ATOMIC DECOMPOSITION | COMPUTER SCIENCE, INFORMATION SYSTEMS | basis pursuit | ARRAYS | ENGINEERING, ELECTRICAL & ELECTRONIC | GREEDY ALGORITHMS | PURSUIT | FRAMES | BOUNDS | stability | DICTIONARIES | Data communications | Models | Analysis | Methods | Algorithms | Approximation | Noise | Mathematical analysis | Representations | Combinatorial analysis | Optimization
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15. Atlas of ocular motility
by Nelson, Leonard B and Catalano, Robert A
1989, ISBN 9780721626284, 228
Eye | Orthoptics | Strabismus | Movements | Eye Movements | atlases | Movement disorders
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16. Full Text Fast solution of ℓ1-Norm minimization problems when the solution may be sparse
by Donoho, David L and Tsaig, Yaakov
IEEE Transactions on Information Theory, ISSN 0018-9448, 2008, Volume 54, Issue 11, pp. 4789 - 4812
Orthogonal matching pursuit | Polytope faces pursuit | minimization | LASSO | Least Angle Regression (Lars) | Sparse representations | Basis pursuit | Homotopy methods | Underdetermined systems of linear equations
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17. Full Text Compressed Sensing and Redundant Dictionaries
by Rauhut, H and Schnass, K and Vandergheynst, P
IEEE Transactions on Information Theory, ISSN 0018-9448, 05/2008, Volume 54, Issue 5, pp. 2210 - 2219
This paper extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown... 
Greedy algorithms | random matrix | Spectroscopy | Dictionaries | thresholding | Matching pursuit algorithms | Linear programming | Basis pursuit (BP) | Decoding | Sparse matrices | restricted isometry constants | orthogonal matching pursuit | redundant dictionary | Signal processing algorithms | sparse approximation | Nuclear magnetic resonance | Compressed sensing | Orthogonal matching pursuit | Restricted isometry constants | Random matrix | Sparse approximation | Thresholding | Redundant dictionary | compressed sensing | basis pursuit (BP) | SIGNAL RECOVERY | COMPUTER SCIENCE, INFORMATION SYSTEMS | SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Image coding | Analysis | Threshold (Perception) | Reconstruction | Algorithms | Back propagation | Redundant | Constants | Detection | Compressed
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18. A report from the Solicitor General's Special Committee on Police Pursuits
Ontario. Ministry of Solicitor General.Special Committee on Police Pursuits
1985, 1 v. (various pagings)
Police pursuit driving
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19. Police pursuit driving
: Prepared by E.W. Jones
by Jones, Edward White and International Association of Chiefs of Police. Field Service Division. Field training guide and North Carolina. State Highway Patrol
1963, 4Th ed., Field training guide, 1, 39
Police pursuit driving
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20. Full Text Stagewise Weak Gradient Pursuits
by Blumensath, T and Davies, M.E
IEEE Transactions on Signal Processing, ISSN 1053-587X, 11/2009, Volume 57, Issue 11, pp. 4333 - 4346
Finding sparse solutions to underdetermined inverse problems is a fundamental challenge encountered in a wide range of signal processing applications, from... 
Greedy algorithms | Source separation | gradient pursuit | Computational modeling | Noise reduction | Matching pursuit algorithms | stagewise selection | weak matching pursuit | Sparse matrices | orthogonal matching pursuit | Inverse problems | Bayesian methods | Signal processing algorithms | Signal processing | sparse representations/approximations | Compressed sensing | Orthogonal matching pursuit | Sparse representations/approximations | Weak matching pursuit | Stagewise selection | Gradient pursuit | SPARSE REPRESENTATIONS | RECOVERY | MATCHING PURSUITS | RECONSTRUCTION | CONVERGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Bayesian statistical decision theory | Monte Carlo method | Usage | Analysis | Research | Computational complexity | Conjugates | Computer simulation | Strategy | Convergence | Marketing
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