Nuit Blanche: ICASSP 2011 Videos and Papers on Compressive Sensing.

Saturday, July 09, 2011

ICASSP 2011 Videos and Papers on Compressive Sensing.

Laurent Duval reminded that I may not have covered the videos of ICASSP specifically on Compressive Sensing. Here they are at the end of this entry. In the meantime, Google found the following ICASSP papers:

Compressed Sensing and Sparse Representation of Signals
0:20:22
Added: 15. 6. 2011 06:31
BEATING NYQUIST THROUGH CORRELATIONS: A CONSTRAINED RANDOM DEMODULATOR FOR SAMPLING OF SPARSE BANDLIMITED SIGNALS
Compressed Sensing and Sparse Representation of Signals
Presented by: Andrew Harms
Author(s): Andrew Harms, Princeton University, United States; Waheed U. Bajwa, Robert Calderbank, Duke University, United States
0:19:20
Added: 15. 6. 2011 06:56
COMPRESSIVE SENSING FOR OVER-THE-AIR ULTRASOUND
Compressed Sensing and Sparse Representation of Signals
Presented by: Petros Boufounos
Author(s): Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
0:18:33
Added: 15. 6. 2011 07:14
SPARSE SPECTRAL FACTORIZATION: UNICITY AND RECONSTRUCTION ALGORITHMS
Compressed Sensing and Sparse Representation of Signals
Presented by: Juri Ranieri
Author(s): Yue Lu, Harvard University, United States; Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne, Switzerland
0:19:35
Added: 15. 6. 2011 07:00
RAND PPM : A LOW POWER COMPRESSIVE SAMPLING ANALOG TO DIGITAL CONVERTER
Compressed Sensing and Sparse Representation of Signals
Presented by: Praveen Kumar Yenduri
Author(s): Praveen Yenduri, Anna Gilbert, Michael Flynn, Shahrzad Naraghi, University of Michigan, United States
0:23:25
Added: 15. 6. 2011 07:27
INCOHERENT COLOR FRAMES FOR COMPRESSIVE DEMOSAICING
Compressed Sensing and Sparse Representation of Signals
Presented by: Hayder Radha
Author(s): Abdolreza Abdolhosseini Moghadam, Mohammad Aghagolzadeh, Michigan State University, United States; Mrityunjay Kumar, Eastman Kodak Company, United States; Hayder Radha, Michigan State University, United States
0:29:13
Added: 15. 6. 2011 07:49
IMPROVED THRESHOLDS FOR RANK MINIMIZATION
Compressed Sensing and Sparse Representation of Signals
Presented by: Babak Hassibi
Author(s): Samet Oymak, M. Amin Khajehnejad, Babak Hassibi, California Institute of Technology, United States

Compressed Sensing: Theory and Methods

0:19:55

Added: 22. 6. 2011 05:08

LORENTZIAN BASED ITERATIVE HARD THRESHOLDING FOR COMPRESSED SENSING

Compressed Sensing: Theory and Methods

Presented by: Rafael Carrillo

Author(s): Rafael Carrillo, Kenneth Barner, University of Delaware, United States

0:15:34

Added: 22. 6. 2011 03:51

SPARSITY-UNDERSAMPLING TRADEOFF OF COMPRESSED SENSING IN THE COMPLEX DOMAIN

Compressed Sensing: Theory and Methods

Presented by: Zai Yang

Author(s): Zai Yang, Cishen Zhang, Nanyang Technological University, Singapore

0:23:36

Added: 22. 6. 2011 04:37

GENERALIZED RESTRICTED ISOMETRY PROPERTY FOR ALPHA-STABLE RANDOM PROJECTIONS

Compressed Sensing: Theory and Methods

Presented by: Gonzalo R. Arce

Author(s): Daniel Otero, Gonzalo R. Arce, University of Delaware, Colombia

0:19:27

Added: 18. 6. 2011 15:22

COMPRESSED SENSING SIGNAL RECOVERY VIA A* ORTHOGONAL MATCHING PURSUIT

Compressed Sensing: Theory and Methods

Presented by: Nazim Burak Karahanoglu

Author(s): Nazim Burak Karahanoglu, TUBITAK - BILGEM, Turkey; Hakan Erdogan, Sabanci University, Turkey

0:19:49

Added: 22. 6. 2011 05:50

WEIGHTED COMPRESSED SENSING AND RANK MINIMIZATION

Compressed Sensing: Theory and Methods

Presented by: Babak Hassibi

Author(s): Samet Oymak, M. Amin Khajehnejad, Babak Hassibi, California Institute of Technology, United States

0:20:15

Added: 22. 6. 2011 03:53

LOW-RANK MATRIX COMPLETION WITH GEOMETRIC PERFORMANCE GUARANTEES

Compressed Sensing: Theory and Methods

Presented by: Wei Dai

Author(s): Wei Dai, Ely Kerman, Olgica Milenkovic, University of Illinois Urbana-Champaign, United States

Spectrum Sensing for Cognitive Radio

0:21:01

Added: 22. 6. 2011 01:34

DETECTION DIVERSITY OF MULTIANTENNA SPECTRUM SENSORS

Spectrum Sensing for Cognitive Radio

Presented by: Gonzalo Vazquez-Vilar

Author(s): Gonzalo Vazquez-Vilar, Roberto Lopez-Valcarce, University of Vigo, Spain; Ashish Pandharipande, Philips Research, Netherlands

0:20:10

Added: 21. 6. 2011 20:23

THE NON-BAYESIAN RESTLESS MULTI-ARMED BANDIT: A CASE OF NEAR-LOGARITHMIC REGRET

Spectrum Sensing for Cognitive Radio

Presented by: Qing Zhao

Author(s): Wenhan Dai, Tsinghua University, China; Yi Gai, Bhaskar Krishnamachari, University of Southern California, United States; Qing Zhao, University of California Davis, United States