Author 
Session 
Start page 
Title 
A A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Addabbo, Pia 
A.6.5 

High Resolution Range Profiling for Stepped Radar via Sparsity Exploitation 
Anitori, Laura 
A.3.1 

Recovery Guarantees for Slow Time Phase Coded Waveforms in MIMO radar 
Askarpour, Amirnader 
A.7.3 

A low cost nonimaging system for standoff threat detection 
Aubry, Augusto 
A.6.5 

High Resolution Range Profiling for Stepped Radar via Sparsity Exploitation 
B A B C D E F G H I J K L M N O P R S T U V W X Y Z 
BagheriKorani, Ebrahim 
A.7.3 

A low cost nonimaging system for standoff threat detection 
Bah, Bubacarr 
A.8.4 

Weighted sparse recovery with expanders 
Becker, John 
A.1.3 

Expansion of DroppedChannel PolSAR CS to include a Spatial Dictionary 
Bi, Hui 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
Biondi, Filippo 
A.1.2 

LowRank Plus Sparse Decomposition, MultiChromatic Analysis and Generalized Likelihood Ratio Test for Ship Weak Detection, (L+S)MCAGLRT 
A.1.5 

Synthetic Aperture Radar Image filtering by Unbiased Risk Estimates for Singular Value Thresholding and MultiChromaticAnalysis 
Bosworth, Bryan 
A.4.3 

Compressive Nonlinear Frequency Modulated CW LIDAR 
Brajovic, Milos 
A.2.4 

Reconstruction of Rigid Body with Noncompensated Acceleration After MicroDoppler Removal 
A.2.1 

Analysis of Initial Estimate Noise in the Sparse Randomly Sampled ISAR Signals 
Buxbaum, Bernd 
A.7.5 

Fast Multipath Estimation for PMD Sensors 
C A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Condat, Laurent 
A.4.4 

Analysis of masks for compressed acquisitions in variationalbased pansharpening 
Czajkowski, Krzysztof 
A.4.1 

Singlepixel realtime video imaging with closedform singlestep image reconstruction 
D A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Daković, Miloš 
A.2.4 

Reconstruction of Rigid Body with Noncompensated Acceleration After MicroDoppler Removal 
A.2.1 

Analysis of Initial Estimate Noise in the Sparse Randomly Sampled ISAR Signals 
Dalla Mura, Mauro 
A.4.4 

Analysis of masks for compressed acquisitions in variationalbased pansharpening 
De Maio, Antonio 
A.6.5 

High Resolution Range Profiling for Stepped Radar via Sparsity Exploitation 
E A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Eldar, Yonina 
A.3.2 

Multiple Carrier Agile Radar via Compressed Sensing 
Ender, Joachim 
A.5.1 

Hybrid Aperture Modulation for THz Imaging with Compressive Sensing 
A.1.4 

Dictionary learning for multiplicative distortions with applications to SAR autofocus 
Ertin, Emre 
A.3.1 

Recovery Guarantees for Slow Time Phase Coded Waveforms in MIMO radar 
Escande, Paul 
A.8.1 

Learning and Exploiting Physics of Degradations 
F A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Feuillen, Thomas 
A.7.6 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
A.3.3 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
Foster, Mark 
A.4.3 

Compressive Nonlinear Frequency Modulated CW LIDAR 
Fritzen, ClausPeter 
A.5.3 

Sparsityconstrained Kalman Filter concept for damage identification in mechanical structures 
G A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Gabbouj, Moncef 
A.6.1 

Through the wall Target Detection/Monitoring from Compressively Sensed Signals via Structural Sparsity 
Gall, Juergen 
A.9.2 

Are good local minima wide in sparse recovery? 
Genzel, Martin 
A.8.3 

A New Perspective on the Sample Complexity of the Analysis Basis Pursuit 
Ginsberg, Daniel 
A.5.3 

Sparsityconstrained Kalman Filter concept for damage identification in mechanical structures 
Giovanneschi, Fabio 
A.1.4 

Dictionary learning for multiplicative distortions with applications to SAR autofocus 
Guicquero, William 
A.3.4 

Experimental results of AnalogtoInformation converter using Non Uniform Wavelet Bandpass Sampling for RF application 
H A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Hage, Dunja 
A.9.3 

Convergence Accelerator for l1Minimizing Kalman Filter 
Heredia Conde, Miguel 
A.7.5 

Fast Multipath Estimation for PMD Sensors 
A.9.1 

Iterative Hard Thresholding with Optimal Measurement Matrices 
A.9.3 

Convergence Accelerator for l1Minimizing Kalman Filter 
Hlubucek, Jiri 
A.4.2 

Evaluation of using coded aperture imaging in the mid and farinfrared region 
Hu, Chang yu 
A.7.7 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
A.2.3 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
Huang, Tianyao 
A.3.2 

Multiple Carrier Agile Radar via Compressed Sensing 
I A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Ioana, Cornel 
A.2.4 

Reconstruction of Rigid Body with Noncompensated Acceleration After MicroDoppler Removal 
A.2.1 

Analysis of Initial Estimate Noise in the Sparse Randomly Sampled ISAR Signals 
J A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Jackson, Julie 
A.1.3 

Expansion of DroppedChannel PolSAR CS to include a Spatial Dictionary 
Jacques, Laurent 
A.7.6 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
A.3.3 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
Jung, Hans 
A.8.2 

Onebit compressed sensing with partial Gaussian circulant matrices 
K A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Kerstein, Thomas 
A.7.5 

Fast Multipath Estimation for PMD Sensors 
Kexel, Christian 
A.5.2 

Sparse Damage Imaging for GuidedWave Structural Health Monitoring 
Knott, Peter 
A.5.1 

Hybrid Aperture Modulation for THz Imaging with Compressive Sensing 
Kotyński, Rafał 
A.4.1 

Singlepixel realtime video imaging with closedform singlestep image reconstruction 
Kozlov, Dmitrii 
A.6.4 

Reducing Radar Energy Consumption in Classification Tasks through the use of Compressed Sensing 
Krahmer, Felix 
A.9.2 

Are good local minima wide in sparse recovery? 
Kutyniok, Gitta 
A.8.3 

A New Perspective on the Sample Complexity of the Analysis Basis Pursuit 
L A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Lee, Dae Gwan 
A.7.1 

Fast Binary Compressive Sensing via $\ell_0$ Gradient Descent 
Li, Xiaobin 
A.2.2 

Wide Angle SAR imaging based on LSCSResidual 
Li, Ze 
A.7.7 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
A.2.3 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
Liu, Tianlin 
A.7.1 

Fast Binary Compressive Sensing via $\ell_0$ Gradient Descent 
Liu, Yimin 
A.3.2 

Multiple Carrier Agile Radar via Compressed Sensing 
Loffeld, Otmar 
A.9.1 

Iterative Hard Thresholding with Optimal Measurement Matrices 
A.7.5 

Fast Multipath Estimation for PMD Sensors 
A.5.3 

Sparsityconstrained Kalman Filter concept for damage identification in mechanical structures 
A.1.4 

Dictionary learning for multiplicative distortions with applications to SAR autofocus 
A.9.4 

A Deep Learning Framework for Compressed Learning and Signal Reconstruction 
A.7.7 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
A.9.2 

Are good local minima wide in sparse recovery? 
A.9.3 

Convergence Accelerator for l1Minimizing Kalman Filter 
A.2.3 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
Lu, Yun 
A.6.2 

Relevant Vector Identification using Matrix Extension for Anisotropic SFCW Radar 
M A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Maggioni, Mauro 
A.8.1 

Learning and Exploiting Physics of Degradations 
März, Maximilian 
A.8.3 

A New Perspective on the Sample Complexity of the Analysis Basis Pursuit 
MESNARD, Philippe 
A.7.4 

Ground Clutter Processing for Airborne Radar in a Compressed Sensing Context 
Moeller, Michael 
A.9.2 

Are good local minima wide in sparse recovery? 

T.1.1 

Minimization Algorithms for ℓ1 Regularized Problems Lecturemotivation 

T.1.2 

Minimization Algorithms for ℓ1 Regularized Problems I 

T.2.1 

Minimization Algorithms for ℓ1 Regularized Problems II 
MohammadpourAghdam, Karim 
A.7.3 

A low cost nonimaging system for standoff threat detection 
Moll, Jochen 
A.5.2 

Sparse Damage Imaging for GuidedWave Structural Health Monitoring 
N A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Nguyen, Xuan Vinh 
A.9.4 

A Deep Learning Framework for Compressed Learning and Signal Reconstruction 
O A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Orhan, Melek 
A.6.1 

Through the wall Target Detection/Monitoring from Compressively Sensed Signals via Structural Sparsity 
Ott, Peter 
A.6.4 

Reducing Radar Energy Consumption in Classification Tasks through the use of Compressed Sensing 
Ouvry, Laurent 
A.3.4 

Experimental results of AnalogtoInformation converter using Non Uniform Wavelet Bandpass Sampling for RF application 
P A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Pallotta, Luca 
A.6.5 

High Resolution Range Profiling for Stepped Radar via Sparsity Exploitation 
Pastuszczak, Anna 
A.4.1 

Singlepixel realtime video imaging with closedform singlestep image reconstruction 
Pelissier, Michael 
A.3.4 

Experimental results of AnalogtoInformation converter using Non Uniform Wavelet Bandpass Sampling for RF application 
Picone, Daniele 
A.4.4 

Analysis of masks for compressed acquisitions in variationalbased pansharpening 
Plettemeier, Dirk 
A.6.2 

Relevant Vector Identification using Matrix Extension for Anisotropic SFCW Radar 
Pribić, Radmila 
A.6.3 

Resolution Analysis of Compressive Data Acquisition 
R A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Rizk, Charbel 
A.4.3 

Compressive Nonlinear Frequency Modulated CW LIDAR 
S A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Sankur, Bulent 
A.6.1 

Through the wall Target Detection/Monitoring from Compressively Sensed Signals via Structural Sparsity 
Scofield, Adam 
A.4.5 

Compressive sensing analogtoinformation system based on optical speckle 
Sefler, George 
A.4.5 

Compressive sensing analogtoinformation system based on optical speckle 
Shaw, Justin 
A.4.5 

Compressive sensing analogtoinformation system based on optical speckle 
Stankovic, Isidora 
A.2.4 

Reconstruction of Rigid Body with Noncompensated Acceleration After MicroDoppler Removal 
A.2.1 

Analysis of Initial Estimate Noise in the Sparse Randomly Sampled ISAR Signals 
Stankovic, Ljubisa 
A.2.4 

Reconstruction of Rigid Body with Noncompensated Acceleration After MicroDoppler Removal 
A.2.1 

Analysis of Initial Estimate Noise in the Sparse Randomly Sampled ISAR Signals 
Sugavanam, Nithin 
A.3.1 

Recovery Guarantees for Slow Time Phase Coded Waveforms in MIMO radar 
T A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Tian, Jing 
A.2.2 

Wide Angle SAR imaging based on LSCSResidual 
Turk, Ahmet 
A.6.1 

Through the wall Target Detection/Monitoring from Compressively Sensed Signals via Structural Sparsity 
U A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Ullo, Silvia 
A.6.5 

High Resolution Range Profiling for Stepped Radar via Sparsity Exploitation 
V A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Valley, George 
A.4.5 

Compressive sensing analogtoinformation system based on optical speckle 
van Rossum, Wim 
A.3.1 

Recovery Guarantees for Slow Time Phase Coded Waveforms in MIMO radar 
Vandendorpe, Luc 
A.7.6 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
A.3.3 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
Vogl, Christian 
A.5.2 

Sparse Damage Imaging for GuidedWave Structural Health Monitoring 
W A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Wang, Ling 
A.7.7 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
A.2.3 

A Novel Inverse Synthetic Aperture Radar Imaging Method Using Convolutional Neural Networks 
Wang, Xiqin 
A.3.2 

Multiple Carrier Agile Radar via Compressed Sensing 
Wei, Zhonghao 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
A.2.2 

Wide Angle SAR imaging based on LSCSResidual 
Wu, Chenyang 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
Wu, YiRong 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
X A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Xu, Chunlei 
A.7.6 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
A.3.3 

1bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing 
Xu, Zhilin 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
Y A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Yamac, Mehmet 
A.6.1 

Through the wall Target Detection/Monitoring from Compressively Sensed Signals via Structural Sparsity 
YousefZamanian, Abolfazl 
A.7.3 

A low cost nonimaging system for standoff threat detection 
Z A B C D E F G H I J K L M N O P R S T U V W X Y Z 
Zhang, Bingchen 
A.2.2 

Wide Angle SAR imaging based on LSCSResidual 
A.1.1 

Comparison of raw data based and complex image based sparse SAR imaging methods 
Zidek, Karel 
A.4.2 

Evaluation of using coded aperture imaging in the mid and farinfrared region 
A.7.2 

Focal Plane Speckle Patterns for Compressive Microscopic Imaging in Laser Spectroscopy 