SampTA 2013: Proceedings

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Overcoming the coherence barrier in compressed sensing: Ben Adcock (Purdue University, USA); Anders Hansen (University of Cambridge, USA); Clarice Poon (University of Cambridge, United Kingdom); Bogdan Roman (University of Cambridge, United Kingdom)

pp. 1-4
On construction and analysis of sparse matrices and expander graphs with applications to CS: Bubacarr Bah (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland); Jared Tanner (University of Oxford, United Kingdom)

pp. 5-8
OMP with Highly Coherent Dictionaries: Raja Giryes (Technion, Israel); Michael Elad (Technion, Israel)

pp. 9-12
Recovery of cosparse signals with Gaussian measurements: Maryia Kabanava (Hausdorff Center for Mathematics, Germany); Holger Rauhut (University of Bonn, Germany)

pp. 13-16
q-ary compressive sensing: Youssef Mroueh (MIT-IIT, USA); Lorenzo Rosasco (DIBRIS, Unige and LCSL - MIT, IIT, USA)

pp. 17-20
Low-rank Tensor Recovery via Iterative Hard Thresholding: Holger Rauhut (University of Bonn, Germany); Reinhold Schneider (Technische Universität Berlin, Germany); Zeljka Stojanac (Universität Bonn, Germany)

pp. 21-24
(Non-)Density Properties of Discrete Gabor Multipliers: Dominik Bayer (Acoustics Research Institute & Austrian Academy of Sciences, Austria); Peter Balazs (Austrian Academy of Sciences, Austria)

pp. 25-28
Estimation of frequency modulations on wideband signals; applications to audio signal analysis: Harold Omer (Aix Marseille Université, France); Bruno Torrésani (Aix-Marseille Université, France)

pp. 29-32
Gabor dual windows using convex optimization: Nathanaël Perraudin (Austrian Academy of Sciences, Switzerland); Nicki Holighaus (Austrian Academy of Sciences, Austria); Peter Soendergaard (Austrian Academy of Sciences, Austria); Peter Balazs (Austrian Academy of Sciences, Austria)

pp. 33-36
Sparse Finite Gabor Frames for Operator Sampling: Goetz Pfander (Jacobs University Bremen, Germany); David Walnut (George Mason University, USA)

pp. 37-40
Optimal wavelet reconstructions from Fourier samples via generalized sampling: Clarice Poon (University of Cambridge, United Kingdom); Anders Hansen (University of Cambridge, USA); Ben Adcock (Purdue University, USA)

pp. 41-44
Wavelet Signs: A New Tool for Signal Analysis: Martin Storath (Ecole Polytechnique Federale de Lausanne, Switzerland); Laurent Demaret (HelmholtzZentrum München, Germany); Peter Massopust (Helmholtz Zentrum München, Germany)

pp. 45-48
Balayage and short time Fourier transform frames: Enrico Au-Yeung (University of British Columbia, Canada); John Benedetto (University of Maryland, USA)

pp. 73-76
Fundamental Limits of Phase Retrieval: Afonso Bandeira (Princeton University, USA); Jameson Cahill (University of Missouri, USA); Dustin G. Mixon (Air Force Institute of Technology, USA); Aaron Nelson (Air Force Institute of Technology, USA)

pp. 77-80
On transformations between Gabor frames and wavelet frames: Ole Christensen (Technical University of Denmark, Denmark); Say Goh (National University of Singapore, Singapore)

pp. 81-84
Perfect Preconditioning of Frames by a Diagonal Operator: Gitta Kutyniok (Technical University Berlin, Germany); Kasso Okoudjou (University of Maryland, USA); Friedrich Philipp (Technische Universität Berlin, Germany)

pp. 85-88
Characterizing completions of finite frames: Matthew Fickus (AF Institute of Technology, USA); Miriam Poteet (Air Force Institute of Technology, USA)

pp. 89-92
A note on scalable frames: Jameson Cahill (University of Missouri, USA); Xuemei Chen (University of Maryland, College Park, USA)

pp. 93-96
Measurement Structures and Constraints in Compressive RF Systems: Nathan A Goodman (University of Oklahoma, USA)

pp. 49-52
Calibration—An open challenge in creating practical computational- and compressive-sensing systems: Michael Gehm (University of Arizona, USA)

pp. 53-56
Compressive CFAR Radar Processing: Laura Anitori (TNO, The Netherlands); Arian Maleki (Rice University, USA); Wim Lambertus van Rossum (TNO, The Netherlands); Matern Otten (TNO, The Netherlands); Richard Baraniuk (Rice University, USA)

pp. 57-60
Sampling Techniques for Improved Algorithmic Efficiency in Electromagnetic Sensing: Kyle R Krueger (Georgia Institute of Technology, USA); James H McClellan (Georgia Institute of Technology, USA); Waymond R Scott, Jr. (Georgia Institute of Technology, USA)

pp. 61-64
Coding and sampling for compressive tomography: David Brady (Duke University, USA)

pp. 65-68
Challenges in Optical Compressive Imaging and Some Solutions: Adrian Stern (Ben-Gurion University of the Negev, Israel); Yair Rivenson (Ben-Gurion University of the Negev, Israel); Yitzhak August (Ben-Gurion University of the Negev, Israel)

pp. 69-72
Finite-power spectral analytic framework for quantized sampled signals: Truong Thao Nguyen (City College of New York, CUNY, USA)

pp. 97-100
Non-Convex Decoding for Sigma Delta Quantized Compressed Sensing: Evan Chou (New York University, USA)

pp. 101-104
Quantized Iterative Hard Thresholding: Bridging 1bit and HighResolution Quantized Compressed Sensing: Laurent Jacques (University of Louvain, Belgium); Kévin Degraux (Université Catholique Louvain, Belgium); Christophe De Vleeschouwer (UCL, ? Be)

pp. 105-108
Sigma-Delta quantization of sub-Gaussian compressed sensing measurements: Felix Krahmer (University of Göttingen, Germany); Rayan Saab (Duke University, USA); Ozgur Yilmaz (University of British Columbia, Canada)

pp. 109-112
Stable Recovery with Analysis Decomposable Priors: Jalal Fadili (GREYC CNRS UMR 6072, ensicaen, France); Gabriel Peyré (CNRS and Université Paris-Dauphine, France); Samuel Vaiter (CNRS, CEREMADE, Université Paris-Dauphine, France); Charles-Alban Deledalle (CNRS-Université Bordeaux 1, France); Joseph Salmon (CNRS-Télécom ParisTech, France)

pp. 113-116
FRI-based Sub-Nyquist Sampling and Beamforming in Ultrasound and Radar: Tanya Chernyakova (The Technion, IIT, Israel); Omer Bar-Ilan (Technion - Israel Institude of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel)

pp. 117-120
Robust Spike Train Recovery from Noisy Data by Structured Low Rank Approximation: Laurent Condat (GIPSA-lab, France); Akira Hirabayashi (Yamaguchi University, Japan)

pp. 121-124
Multichannel ECG Analysis using VPW-FRI: Amrish Nair (Nanyang Technological University, Singapore); Pina Marziliano (Nanyang Technological University, Singapore); Frank Quick (Qualcomm Inc., USA); Ronald Crochiere (Qualcomm Inc., USA); Gilles Baechler (EPFL, Switzerland)

pp. 125-128
Recovery of bilevel causal signals with finite rate of innovation using positive sampling kernels: Gayatri Ramesh (Applying, USA); Elie Atallah (University of Central Florida, USA); Qiyu Sun (University of Central Florida, USA)

pp. 129-132
Approximate FRI with Arbitrary Kernels: Jose Antonio Uriguen (Imperial College of London, Spain); Pier Luigi Dragotti (Imperial College London, United Kingdom); Thierry Blu (Chinese University of Hong Kong, Hong Kong)

pp. 133-136
Algebraic signal sampling, Gibbs phenomenon and Prony-type systems: Dmitry Batenkov (Weizmann Institute of Science, Israel); Yosef Yomdin (Weizmann Institute of Science, Israel)

pp. 137-140
Super-resolution via superset selection and pruning: Laurent Demanet (MIT, USA); Deanna Needell (Claremont McKenna College, USA); Nam Nguyen (Massachusetts Institute of Technology, USA)

pp. 141-144
Support detection in super-resolution: Carlos Fernandez-Granda (Stanford University, USA)

pp. 145-148
Using Correlated Subset Structure for Compressive Sensing Recovery: Deanna Needell (Claremont McKenna College, USA); Atul Divekar (Alcatel-Lucent, USA)

pp. 149-152
Sub-Wavelength Coherent Diffractive Imaging based on Sparsity: Yoav Shechtman (Technion, Israel); Alexander Szameit (Technion, Israel); Eliahyu Osherovich (Technion, Israel); Pavel Sidorenko (Technion, Israel); Elad Bullkich (Technion - Israel Institute of Technology, Israel); Hod Dana (Technion, Israel); Shy Shoham (Technion, Israel); Irad Yavneh (Technion, Israel); Michael Zibulevsky (Technion - Israel Institute of Technology, Israel); Oren Cohen (Technion, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel); Mordechai Segev (Technion, Israel)

pp. 153-155
Robust Polyhedral Regularization: Samuel Vaiter (CNRS, CEREMADE, Université Paris-Dauphine, France); Gabriel Peyré (CNRS and Université Paris-Dauphine, France); Jalal Fadili (GREYC CNRS UMR 6072, ensicaen, France)

pp. 156-159
On the Performance of Adaptive Sensing for Sparse Signal Inference: Rui Castro (Eindhoven University of Technology, The Netherlands)

pp. 160-163
Reconstruction of solutions to the Helmholtz equation from punctual measurements: Gilles Chardon (Austrian Academy of Sciences, Austria); Albert Cohen (Universite Pierre et Marie Curie, France); Laurent Daudet (Université Paris Diderot, France)

pp. 164-167
A priori convergence of the Generalized Empirical Interpolation Method: Yvon Maday (UPMC Univ Paris VI - Laboratoire Jacques-Louis Lions, France); Olga Mula (UPMC Univ Paris VI - Laboratoire Jacques-Louis Lions & CEA Saclay - DEN/DANS/DM2S/SERMA/LLPR, France); Turinici Gabriel (CEREMADE, Univ Paris Dauphine, France)

pp. 168-171
Test-size Reduction Using Sparse Factor Analysis: Divyanshu Vats (Rice University, USA); Christoph Studer (Rice University, USA); Richard Baraniuk (Rice University, USA)

pp. 172-175
Special Frames: Daniel Abreu (Acoustic Research Institute & CMUC, University of Coimbra, Austria)

pp. 176-177
Variation and approximation for Mellin-type operators: Laura Angeloni (University of Perugia, Italy); Gianluca Vinti (University of Perugia, Italy)

pp. 178-181
iterative methods for random sampling recovery and compressed sensing recovery: Masomeh Azghani (Sharif University of Technology, Iran); Farokh Marvasti (Sharif university of Technology, Iran)

pp. 182-185
A Review of the Invertibility of Frame Multipliers: Peter Balazs (Austrian Academy of Sciences, Austria); Diana Stoeva (Austrian Academy of Sciences, Austria)

pp. 186-188
Hybrid Regularization and Sparse Reconstruction of Imaging Mass Spectrometry Data: Andreas Bartels (University of Bremen & Center for Industrial Mathematics - ZeTeM, Germany)

pp. 189-192
Level crossing sampling of strongly monoHölder functions: Brigitte Bidegaray-Fesquet (CNRS, France); Marianne Clausel (University Joseph Fourier, France)

pp. 193-196
MAP Estimators for Self-Similar Sparse Stochastic Models: Emrah Bostan (Ecole Polytechnique Fédérale de Lausanne, Switzerland); Julien Fageot (EPFL, Switzerland); Ulugbek S. Kamilov (EPFL, Switzerland); Michael Unser (EPFL, Switzerland)

pp. 197-199
From variable density sampling to continuous sampling using Markov chains: Nicolas Chauffert (CEA, Neurospin Center, Parietal Team., France); Philippe Ciuciu (LNAO, France); Pierre Armand Weiss (ITAV USR 3505, France); Fabrice Gamboa (Université Paul Sabatier (Toulouse III), France)

pp. 200-203
A Comparison of Reconstruction Methods for Compressed Sensing of the Photoplethysmogram: Nicholas Conn (Rochester Institute of Technology, USA); David Borkholder (Rochester Institute of Technology, USA)

pp. 204-207
Generalized sampling in $U$-invariant subspaces: Héctor Fernández-Morales (Universidad Carlos III de Madrid, Spain); Antonio García (Universidad Carlos III de Madrid, Spain); Miguel Hernández-Medina (Universidad Politécnica de Madrid, Spain)

pp. 208-211
Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery: Raja Giryes (Technion, Israel); Michael Elad (Technion, Israel)

pp. 212-215
The Design of Non-redundant Directional Wavelet Filter Bank Using 1-D Neville Filters: Youngmi Hur (Johns Hopkins University, USA); Fang Zheng (Johns Hopkins University, USA)

pp. 216-219
Sparse Approximation of Ion-Mobility Spectrometry Profiles by Minutely Shifted Discrete B-splines: Masaru Kamada (Ibaraki University, Japan); Masakazu Ohno (Ibaraki University, Japan)

pp. 220-223
Tracking Dynamic Sparse Signals with Kalman Filters: Framework and Improved Inference: Evripidis Karseras (Imperial College London, United Kingdom); Kin K. K. Leung (Imperial College, United Kingdom); Wei Dai (Imperial College, United Kingdom)

pp. 224-227
The Variation Detracting Property of some Shannon Sampling Series and their Derivatives: Andi Kivinukk (Tallinn University, Estonia); Tarmo Metsmägi (Tallinn University, Estonia)

pp. 228-231
Jointly filtering and regularizing seismic data using space-varying FIR filters: Apostolos Kontakis (Delft University of Technology, The Netherlands); Xander Campman (Shell Global Solutions International B. V., The Netherlands); Geert Leus (Delft University of Technology, The Netherlands); Zijian Tang (Shell Global Solutions International B. V., The Netherlands); Mike Danilouchkine (Shell Global Solutions International B. V., The Netherlands)

pp. 232-235
Non-uniform sampling pattern recognition based on atomic decomposition: Tugdual Le Pelleter (TIMA Laboratory, France); Taha Beyrouthy (TIMA Laboratory, France); Robin Rolland (CIME Nanotech, France); Agnès Bonvilain (TIMA Laboratory, France); Laurent Fesquet (TIMA Laboratory, France)

pp. 236-239
Particle Filter Acceleration Using Multiscale Sampling Methods: Yaniv Shmueli (Tel-Aviv University, Israel); Gil Shabat (Tel-Aviv University, Israel); Amit Bermanis (Tel-Aviv University, Israel); Amir Averbuch (Tel Aviv University, Israel)

pp. 240-243
Analysis of Multistage Sampling Rate Conversion for Potential Optimal Factorization: Zhengmao Ye (Southern University, USA); Habib Mohamadian (Southern University, USA)

pp. 244-247
Sparse 2D Fast Fourier Transform: Andre Rauh (University of Delaware, USA); Gonzalo Arce (University of Delaware, USA)

pp. 248-251
GESPAR: Efficient Sparse Phase Retrieval with Application to Optics: Yoav Shechtman (Technion, Israel); Amir Beck (The Technion, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel)

pp. 252-255
Sparse Signal Reconstruction from Phase-only Measurements: Petros T Boufounos (Mitsubishi Electric Research Laboratories & Rice University, USA)

pp. 256-259
Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing: Mitra Fatemi (EPFL, Switzerland); Loic Baboulaz (Imperial College, United Kingdom); Martin Vetterli (EPFL, Switzerland)

pp. 260-263
Deterministic Binary Sequences for Modulated Wideband Converter: Lu Gan (Brunel University, United Kingdom); Wang Huali (ICE, PLA UST, P.R. China)

pp. 264-267
Fractional Prolate Spheroidal Wave Functions: Ahmed Zayed (DePaul University, USA)

pp. 268-270
Absolute Convergence of the Series of Fourier-Haar Coefficients: Boris Golubov (Moscow Institute of Physics and Technologies, Russia); Sergey Volosivets (Saratov State University, Russia)

pp. 271-273
Mellin analysis and exponential sampling. Part I: Mellin fractional integrals: Paul Butzer (RWTH Aachen, Germany); Carlo Bardaro (University of Perugia, Italy); Ilaria Mantellini (University of Perugia, Italy)

pp. 274-276
Mellin analysis and exponential sampling. Part II: Mellin differential operators and sampling: Paul Butzer (RWTH Aachen, Germany); Carlo Bardaro (University of Perugia, Italy); Ilaria Mantellini (University of Perugia, Italy)

pp. 277-280
Optimisation and control of sampling rate in localisation microscopy: Seamus Holden (Swiss Federal Institute of Technology (EPFL), Switzerland); Thomas Pengo (Center for Genomic Regulation, Spain); Suliana Manley (EPFL, Switzerland)

pp. 281-284
Fast Maximum Likelihood High-density Low-SNR Super-resolution Localization Microscopy: Kyung Sang Kim (KAIST, Korea); Junhong Min (KAIST, Korea); Lina Carlini (EPFL, Switzerland); Michael Unser (EPFL, Switzerland); Suliana Manley (EPFL, Switzerland); Daejong Jeon (KAIST, Korea); Jong Chul Ye (KAIST, Korea)

pp. 285-288
Analogies and differences in optical and mathematical systems and approaches: Bettina Heise (CDL MS-MACH/ ZONA, FLLL, Johannes Kepler University Linz, Austria); Stefan Schausberger (JKU Linz, Austria); Martin Reinhardt (TU Bergakademie Freiberg, Germany); David Stifter (JKU Linz, Austria)

pp. 289-292
The Nyquist theorem for cellular sheaves: Michael Robinson (American University, USA)

pp. 293-296
Frames of eigenspaces and localization of signal components: José Luis Romero (University of Vienna, Austria); Monika Doerfler (University of Vienna, Austria)

pp. 297-300
A Lie group approach to diffusive wavelets: Swanhild Bernstein (TU Bergakademie Freiberg, Germany)

pp. 301-304
Shannon Sampling and Parseval Frames on Compact Manifolds: Isaac Pesenson (Temple University and CCP, USA)

pp. 305-308
Signal Analysis with Frame Theory and Persistent Homology: Mijail Guillemard (Technische Universität Berlin, Germany); Holger Boche (Technical University Munich, Germany); Gitta Kutyniok (Technical University Berlin, Germany); Friedrich Philipp (Technische Universität Berlin, Germany)

pp. 309-312
Signal Adaptive Frame Theory: Stephen D. Casey (American University & NWC at the University of Maryland, USA)

pp. 313-316
Identification of Rational Transfer Functions from Sampled Data: Hagai Kirshner (EPFL, Switzerland); John Paul Ward (Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland); Michael Unser (EPFL, Switzerland)

pp. 341-343
Reconstruction of Signals from Highly Aliased Multichannel Samples by Generalized Matching Pursuit: Ali Ozbek (Schlumberger Cambridge Research, United Kingdom); Massimiliano Vassallo (WesternGeco London Technology Centre, United Kingdom); Kemal Ozdemir (WesternGeco Oslo Technology Center, Norway); Dirk-Jan van Manen (Schlumberger Cambridge Research, United Kingdom); Kurt Eggenberger (Schlumberger, USA)

pp. 344-347
Joint Signal Sampling and Detection: Mirek Pawlak (University of Manitoba, Canada)

pp. 348-351
On Optimal Sampling Trajectories for Mobile Sensing: Jayakrishnan Unnikrishnan (EPFL, Switzerland); Martin Vetterli (EPFL, Switzerland)

pp. 352-355
Phase Retrieval via Structured Modulations in Paley-Wiener Spaces: Fanny Yang (UC Berkeley, USA); Volker Pohl (Technische Universität München, Germany); Holger Boche (Technical University Munich, Germany)

pp. 356-359
Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI: Gilles Puy (EPFL, Switzerland); Gabriele Bonanno (University of Lausanne, Switzerland); Matthias Stuber (University of Lausanne, Switzerland); Pierre Vandergheynst (EPFL, Switzerland)

pp. 317-320
Localization of point sources in wave fields from boundary measurements using new sensing principle: Zafer Dogan (EPFL, Switzerland); Ivana Jovanovic (EPFL Lausanne, Switzerland); Thierry Blu (Chinese University of Hong Kong, Hong Kong); Dimitri Van De Ville (Ecole Polytechnique Fédérale de Lausanne, Switzerland)

pp. 321-324
Compressive Acquisition of Sparse Deflectometric Maps: Prasad Sudhakar (Universite Catholique de Louvain, Belgium); Laurent Jacques (University of Louvain, Belgium); Adriana Gonzalez Gonzalez (Université Catholique Louvain, Belgium); Xavier Dubois (Lambda-X SA, Belgium); Philippe Antoine (Lambda-X SA, Belgium); Luc Joannes (Lambda-X SA, Belgium)

pp. 325-328
Fourier-Laguerre transform, convolution and wavelets on the ball: Jason McEwen (University College London, United Kingdom); Boris Leistedt (University College London, United Kingdom)

pp. 329-332
Truncation Error in Image Interpolation: Loic Simon (· ENSICAEN Ecole Nationale Superieure d'Ingenieurs de Caen, France)

pp. 333-336
Optimal Interpolation Laws for Stable AR(1) Processes: Arash Amini (EPFL, Switzerland)

pp. 380-383
Hierarchical Tucker Tensor Optimization - Applications to Tensor Completion: Curt Da Silva (University of British Columbia, Canada); Felix J. Herrmann (the University of British Columbia, Canada)

pp. 384-387
Estimation of large data sets on the basis of sparse sampling: Anatoli Torokhti (University of South Australia, Australia); Phil Howlett (University of South Australia, Australia); Hamid Laga (University of South Australia & Phenomics and Bioinformatics Research Centre, Australia)

pp. 388-391
Analysis of Hierarchical Image Alignment with Descent Methods: Elif Vural (Ecole Polytechnique Federale de Lausanne, Switzerland); Pascal Frossard (EPFL, Switzerland)

pp. 392-395
Spectrum Reconstruction from Sub-Nyquist Sampling of Stationary Wideband Signals: Deborah Cohen (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel)

pp. 396-399
Energy-aware adaptive bi-Lipschitz embeddings: Bubacarr Bah (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland); Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland); Ali Sadeghian (Sharif University of Technology, Iran)

pp. 360-363
Randomized Singular Value Projection: Stephen Becker (IBM T. J. Watson Research Center, Yorktown Heights, New York, USA); Volkan Cevher (Ecole Polytechnique Federale de Lausanne, Switzerland); Anastasios Kyrillidis (EPFL & IBM Research Lab Zurich, Switzerland)

pp. 364-367
On Sparsity Averaging: Rafael Carrillo (EPFL, Switzerland); Jason McEwen (University College London, United Kingdom); Yves Wiaux (EPFL, Switzerland)

pp. 368-371
Conditions for Dual Certificate Existence in Semidefinite Rank-1 Matrix Recovery: Paul Hand (Massachusetts Institute of Technology, USA)

pp. 372-375
The restricted isometry property for random convolutions: Felix Krahmer (University of Göttingen, Germany); Shahar Mendelson (Technion, Israel); Holger Rauhut (University of Bonn, Germany)

pp. 376-379
Multivariate sampling Kantorovich operators: approximation and applications to civil engineering: Federico Cluni (University of Perugia, Italy); Danilo Costarelli (University of Roma 3, Italy); Anna Maria Minotti (University of Perugia, Italy); Gianluca Vinti (University of Perugia, Italy)

pp. 400-403
On the Number of Degrees of Freedom of Band-Limited Functions: Tatiana Levitina (TU Braunschweig, Germany)

pp. 404-407
Tracing Sound Objects in Audio Textures: Monika Doerfler (University of Vienna, Austria); Ewa Matusiak (Vienna, Austria)

pp. 408-411
An Uncertainty Principle for Discrete Signals: Sangnam Nam (Aix-Marseille Université, France)

pp. 412-415
Efficient Simulation of Continuous Time Digital Signal Processing RF Systems: Alin Ratiu (CEA & INSA de Lyon, France); Dominique Morche (CEA Leti, France); Arnaud Arias (CEA Leti, France); Bruno Allard (INSA Lyon, France); Xuefang Lin-Shi (INSA Lyon, France); Jacques Verdier (Institut National des Sciences Appliquées, France)

pp. 416-419
Shift-Variance and Cyclostationarity of Linear Periodically Shift-Variant Systems: Bashir Sadeghi (Eastern Mediterranean University, Turkey); Runyi Yu (Eastern Mediterranean University, Turkey)

pp. 420-423
Constructive sampling for patch-based embedding: Moshe Salhov (Tel Aviv University, Israel); Guy Wolf (Tel Aviv University, Israel); Amit Bermanis (Tel-Aviv University, Israel); Amir Averbuch (Tel Aviv University, Israel)

pp. 424-427
The Constrained Earth Mover Distance Model, with Applications to Compressive Sensing: Ludwig Schmidt (MIT, USA); Chinmay Hegde (MIT, USA); Piotr Indyk (MIT, USA)

pp. 428-431
Orlicz Modulation Spaces: Catherine Schnackers (RWTH Aachen University, Germany); Hartmut Führ (RWTH Aachen University, Germany)

pp. 432-435
Binary Reduced Row Echelon Form Approach for Subspace Segmentation: Ali Sekmen (Tennessee State University, USA); Akram Aldroubi (Vanderbilt University, USA)

pp. 436-439
Missing Entries Matrix Approximation and Completion: Gil Shabat (Tel-Aviv University, Israel); Yaniv Shmueli (Tel-Aviv University, Israel); Amir Averbuch (Tel Aviv University, Israel)

pp. 440-443
Using Affinity Perturbations to Detect Web Traffic Anomalies: Yaniv Shmueli (Tel-Aviv University, Israel); Tuomo Sipola (University of Jyväskylä, Finland); Gil Shabat (Tel-Aviv University, Israel); Amir Averbuch (Tel Aviv University, Israel)

pp. 444-447
Finite Rate of Innovation Signals: Quantization Analysis with Resistor-Capacitor Acquisition Filter: Srikanth Tenneti (California Institute of Technology, USA); Animesh Kumar (Indian Institute of Technology Bombay, India); Abhay Karandikar (IIT Bombay, India)

pp. 448-451
Tangent space estimation bounds for smooth manifolds: Hemant Tyagi (ETH Zurich, Switzerland); Elif Vural (Ecole Polytechnique Federale de Lausanne, Switzerland); Pascal Frossard (EPFL, Switzerland)

pp. 452-455
A null space property approach to compressed sensing with frames: Rongrong Wang (University of Maryland, USA); Xuemei Chen (University of Maryland, College Park, USA); Haichao Wang (University of California, Davis, USA)

pp. 456-459
Irregular Sampling of the Radon Transform of Bandlimited Functions: Thomas Wiese (Technische Universität München, Germany); Laurent Demaret (HelmholtzZentrum München, Germany)

pp. 460-463
Spline-based frames for image restoration: Valery Zheludev (Tel Aviv University, Israel); Pekka Neittaanmäki (University of Jyväskylä, Finland); Amir Averbuch (Tel Aviv University, Israel)

pp. 464-467
On the Noise-Resilience of OMP with BASC-Based Low Coherence Sensing Matrices: Henning Zörlein (Ulm University, Germany); Dejan Lazich (Ulm University, Germany); Martin Bossert (Ulm University, Germany)

pp. 468-471
Tight frames in spiral sampling: Somantika Datta (University of Idaho, USA); Enrico Au-Yeung (University of British Columbia, Canada)

pp. 472-475
Measure-based diffusion kernel methods: Amit Bermanis (Tel-Aviv University, Israel); Guy Wolf (Tel Aviv University, Israel); Amir Averbuch (Tel Aviv University, Israel)

pp. 489-492
Spectral properties of dual frames: Felix Krahmer (University of Göttingen, Germany); Gitta Kutyniok (Technical University Berlin, Germany); Jakob Lemvig (Technical University of Denmark, Denmark)

pp. 493-496
Local coherence sampling for stable sparse recovery: Felix Krahmer (University of Göttingen, Germany); Holger Rauhut (University of Bonn, Germany); Rachel Ward (University of Texas, USA)

pp. 476-480
Structured-signal recovery from single-bit measurements: Yaniv Plan (University of Michigan, USA)

pp. 481-484
Dictionary Identification Results for K-SVD with Sparsity Parameter 1: Karin Schnass (University of Sassari, Italy)

pp. 485-488
Sampling and Reconstruction of Bandlimited BMO-Functions: Holger Boche (Technical University Munich, Germany); Ullrich J Mönich (Massachusetts Institute of Technology, USA)

pp. 521-524
Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations: Animesh Kumar (Indian Institute of Technology Bombay, India)

pp. 528-531
Sampling aspects of approximately time-limited multiband and bandpass signals: Joseph Lakey (New Mexico State University, USA); Jeffrey Hogan (University of Newcastle, Australia)

pp. 532-535
Recovery of Bandlimited Signal Based on Nonuniform Derivative Sampling: Dominik Rzepka (AGH University of Science and Technology, Poland); Marek Miskowicz (AGH University of Science and Technology, Poland); Anna Gryboś (AGH University of Science and Technology, Poland); Dariusz Koscielnik (AGH University of Science and Technology, Poland)

pp. 536-539
Approximation by Shannon sampling operators in terms of an averaged modulus of smoothness: Gert Tamberg (Tallinn University of Technology, Estonia); Andi Kivinukk (Tallinn University, Estonia)

pp. 540-543
Sparse Recovery with Fusion Frames via RIP: Ulas Ayaz (University of Bonn, Germany); Holger Rauhut (University of Bonn, Germany)

pp. 497-500
Blind Sensor Calibration in Sparse Recovery Using Convex Optimization: Cagdas Bilen (INRIA Rennes, France); Gilles Puy (EPFL, Switzerland); Rémi Gribonval (INRIA, France); Laurent Daudet (Université Paris Diderot, France)

pp. 501-504
Sampling by blocks of measurements in Compressed Sensing: Claire Boyer (Université Paul Sabatier, France); Jérémie Bigot (ISAE, France); Pierre Armand Weiss (ITAV USR 3505, France)

pp. 505-508
Travelling salesman-based variable density sampling: Nicolas Chauffert (CEA, Neurospin Center, Parietal Team., France); Philippe Ciuciu (LNAO, France); Jonas Kahn (Laboratoire Painlevé, CNRS, France); Pierre Armand Weiss (ITAV USR 3505, France)

pp. 509-512
Incremental Sparse Bayesian Learning for Parameter Estimation of Superimposed Signals: Dmitriy Shutin (German Aerospace Center (DLR), Germany); Wei Wang (German Aerospace Center (DLR), Germany); Jost Thomas (German Aerospace Center (DLR), Germany)

pp. 513-516
Sparse MIMO Radar with Random Sensor Arrays and Kerdock Codes: Thomas Strohmer (University of California, Davis, USA); Haichao Wang (University of California, Davis, USA)

pp. 517-520
Phase retrieval using time and Fourier magnitude measurements: Martin Ehler (University of Vienna, Germany); Stefan Kunis (University of Osnabrück & Helmholtz Zentrum München, Germany)

pp. 564-567
Fast Ewald summation under 2d- and 1d-periodic boundary conditions based on NFFTs: Franziska Nestler (Chemnitz University of Technology, Germany); Daniel Potts (Chemnitz University, Germany)

pp. 568-571
A sparse Prony FFT: Daniel Potts (Chemnitz University, Germany); Stefan Kunis (University of Osnabrück & Helmholtz Zentrum München, Germany); Sabine Heider (University of Osnabrück, Germany); Michael Veit (Chemnitz University of Technology, Germany)

pp. 572-575
Taylor and rank-1 lattice based nonequispaced fast Fourier transform: Toni Volkmer (Chemnitz University of Technology, Germany)

pp. 576-579
Decoupling of Fourier Reconstruction System for Shifts of Several Signals: Yosef Yomdin (Weizmann Institute of Science, Israel); Dmitry Batenkov (Weizmann Institute of Science, Israel); Niv Sarig (Nova Measuring Instruments & Weizmann Institute of Science, Israel)

pp. 580-583
Digital Calibration of SAR ADC: Yun Chiu (University of Texas at Dallas, USA)

pp. 544-547
Trend of High-Speed SAR ADC towards RF Sampling: Mike Shuo-Wei Chen (University of Southern California, USA)

pp. 548-551
Multi-Step Switching Methods for SAR ADCs: Ying-Zu Lin (Novatek Inc. & National Cheng Kung University, Taiwan); Ya-Ting Shyu (National Cheng Kung University, Taiwan); Che-Hsun Kuo (National Cheng Kung University, Taiwan); Guan-Ying Huang (National Cheng Kung University, Taiwan); Chun-Cheng Liu (MediaTek Inc., Taiwan); Soon-Jyh Chang (NCKU, Taiwan)

pp. 552-555
On the use of redundancy in successive approximation A/D converters: Boris Murmann (Stanford University, USA)

pp. 556-559
Design Considerations of Ultra-Low-Voltage Self-Calibrated SAR ADC: Hai Huang (UESTC, P.R. China); Xiaoyang Wang (UESTC, P.R. China); Qiang Li (University of Electronic Science and Technology of China, P.R. China)

pp. 560-563