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Signal Processing, ISSN 0165-1684, 12/2012, Volume 92, Issue 12, pp. 3075 - 3079
A new sparse signal recovery algorithm for multiple-measurement vectors (MMV) problem is proposed in this paper. The sparse representation is iteratively drawn... 
The modulated wideband converter | Sparse recovery | Multiple-measurement vectors | Zero-point attracting projection | Compressed sensing | SIGNAL RECONSTRUCTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms
Journal Article
IEICE Electronics Express, ISSN 1349-2543, 2012, Volume 9, Issue 4, pp. 314 - 319
Sequential Compressive Sensing, which may be widely used in sensing devices, is a popular topic of recent research. This paper proposes an online recovery... 
Compressive sensing | Online algorithm | Sparse signal recovery | Zero-point attracting projection | Sequential | sparse signal recovery | zero-point attracting projection | sequential | online algorithm | compressive sensing | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 604 - 608
This paper proposes an improved variable step-size (VSS) scheme for zero-point attracting projection (ZAP) algorithm. The proposed VSS is proportional to the... 
Least squares approximations | zero-point attracting projection | Current measurement | adaptive filter | Adaptive filters | IIR filters | Variable step-size | Filtering algorithms | sparse system identification | System identification | Dispersion | Algorithms | Tracking | Computer simulation | Conferences | Projection | Speech | Mathematical models | Convergence
Conference Proceeding
2013 Asilomar Conference on Signals, Systems and Computers, ISSN 1058-6393, 11/2013, pp. 1524 - 1528
This paper proposes a new variable step-size (VSS) scheme for the recently introduced zero-point attracting projection (ZAP) algorithm. The proposed variable... 
Least squares approximations | zero-point attracting projection | Current measurement | adaptive filter | Adaptive filters | Signal processing algorithms | Variable step-size | Filtering algorithms | Dispersion | Convergence
Conference Proceeding
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 5485 - 5489
Sparse signal recovery in the static case has been well studied under the framework of Compressive Sensing (CS), while in recent years more attention has also... 
sparse signal recovery | exponential smoothing | dynamic zero-point attracting projection (DZAP) | Time-varying | nonconvex approach | Lead | Predictive models | Prediction algorithms | MATLAB | Dynamic tests | Algorithms | Conferences | Dynamics | Speech | Recovery | Temporal logic | Optimization
Conference Proceeding
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2012, pp. 3333 - 3336
In this paper, we consider compressed sensing (CS) of block-sparse signals, i.e., sparse signals that have nonzero coefficients occurring in clusters. An... 
Algorithm design and analysis | zero-point attracting projection | Noise | block sparse | Matching pursuit algorithms | Approximation algorithms | Cost function | sparse recovery | Noise measurement | Compressed sensing
Conference Proceeding
Circuits, Systems, and Signal Processing, ISSN 0278-081X, 3/2017, Volume 36, Issue 3, pp. 1301 - 1310
Journal Article
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