| 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 non-imaging 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 |
| Bagheri-Korani, Ebrahim |
A.7.3 |
|
A low cost non-imaging system for standoff threat detection |
| Bah, Bubacarr |
A.8.4 |
|
Weighted sparse recovery with expanders |
| Becker, John |
A.1.3 |
|
Expansion of Dropped-Channel 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 |
|
Low-Rank Plus Sparse Decomposition, Multi-Chromatic Analysis and Generalized Likelihood Ratio Test for Ship Weak Detection, (L+S)-MCA-GLRT |
| A.1.5 |
|
Synthetic Aperture Radar Image filtering by Unbiased Risk Estimates for Singular Value Thresholding and Multi-Chromatic-Analysis |
| Bosworth, Bryan |
A.4.3 |
|
Compressive Nonlinear Frequency Modulated CW LIDAR |
| Brajovic, Milos |
A.2.4 |
|
Reconstruction of Rigid Body with Noncompensated Acceleration After Micro-Doppler 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 variational-based pansharpening |
| Czajkowski, Krzysztof |
A.4.1 |
|
Single-pixel real-time video imaging with closed-form single-step 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 Micro-Doppler 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 variational-based 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 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| A.3.3 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| Foster, Mark |
A.4.3 |
|
Compressive Nonlinear Frequency Modulated CW LIDAR |
| Fritzen, Claus-Peter |
A.5.3 |
|
Sparsity-constrained 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 |
|
Sparsity-constrained 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 Analog-to-Information 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 l1-Minimizing 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 l1-Minimizing Kalman Filter |
| Hlubucek, Jiri |
A.4.2 |
|
Evaluation of using coded aperture imaging in the mid- and far-infrared 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 Micro-Doppler 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 Dropped-Channel PolSAR CS to include a Spatial Dictionary |
| Jacques, Laurent |
A.7.6 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| A.3.3 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| Jung, Hans |
A.8.2 |
|
One-bit 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 Guided-Wave Structural Health Monitoring |
| Knott, Peter |
A.5.1 |
|
Hybrid Aperture Modulation for THz Imaging with Compressive Sensing |
| Kotyński, Rafał |
A.4.1 |
|
Single-pixel real-time video imaging with closed-form single-step 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 LS-CS-Residual |
| 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 |
|
Sparsity-constrained 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 l1-Minimizing 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 |
| Mohammadpour-Aghdam, Karim |
A.7.3 |
|
A low cost non-imaging system for standoff threat detection |
| Moll, Jochen |
A.5.2 |
|
Sparse Damage Imaging for Guided-Wave 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 Analog-to-Information 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 |
|
Single-pixel real-time video imaging with closed-form single-step image reconstruction |
| Pelissier, Michael |
A.3.4 |
|
Experimental results of Analog-to-Information converter using Non Uniform Wavelet Bandpass Sampling for RF application |
| Picone, Daniele |
A.4.4 |
|
Analysis of masks for compressed acquisitions in variational-based 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 analog-to-information system based on optical speckle |
| Sefler, George |
A.4.5 |
|
Compressive sensing analog-to-information system based on optical speckle |
| Shaw, Justin |
A.4.5 |
|
Compressive sensing analog-to-information system based on optical speckle |
| Stankovic, Isidora |
A.2.4 |
|
Reconstruction of Rigid Body with Noncompensated Acceleration After Micro-Doppler 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 Micro-Doppler 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 LS-CS-Residual |
| 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 analog-to-information 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 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| A.3.3 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| Vogl, Christian |
A.5.2 |
|
Sparse Damage Imaging for Guided-Wave 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 LS-CS-Residual |
| 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 |
|
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing |
| A.3.3 |
|
1-bit 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 |
| Yousef-Zamanian, Abolfazl |
A.7.3 |
|
A low cost non-imaging 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 LS-CS-Residual |
| 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 far-infrared region |
| A.7.2 |
|
Focal Plane Speckle Patterns for Compressive Microscopic Imaging in Laser Spectroscopy |
