Technical Program
SPTM-P6: Signal Restoration and Enhancement |
Session Type: Poster |
Time: Wednesday, May 29, 08:00 - 10:00 |
Location: Poster Area J |
Session Chair: Hing Cheung So, City University of Hong Kong |
SPTM-P6.1: AUTOCALIBRATED SIGNAL RECONSTRUCTION FROM LINEAR MEASUREMENTS USING ADAPTIVE GAMP |
Ulugbek Kamilov; École Polytechnique Fédérale de Lausanne (EPFL) |
Aurelien Bourquard; École Polytechnique Fédérale de Lausanne (EPFL) |
Emrah Bostan; École Polytechnique Fédérale de Lausanne (EPFL) |
Michael Unser; École Polytechnique Fédérale de Lausanne (EPFL) |
SPTM-P6.2: POISSON IMAGE RESTORATION WITH LIKELIHOOD CONSTRAINT VIA HYBRID STEEPEST DESCENT METHOD |
Shunsuke Ono; Tokyo Institute of Technology |
Isao Yamada; Tokyo Institute of Technology |
SPTM-P6.3: MITIGATION OF CLIPPING IN SENSORS |
Shang Kee Ting; University of California, Los Angeles |
Ali H. Sayed; University of California, Los Angeles |
SPTM-P6.4: CONSISTENT ITERATIVE HARD THRESHOLDING FOR SIGNAL DECLIPPING |
Srdan Kitic; Université Catholique de Louvain |
Laurent Jacques; Université Catholique de Louvain |
Nilesh Madhu; NXP semiconductors |
Michael Peter Hopwood; NXP semiconductors |
Ann Spriet; NXP semiconductors |
Christophe De Vleeschouwer; Université Catholique de Louvain |
SPTM-P6.5: SIMULTANEOUS POLYNOMIAL APPROXIMATION AND TOTAL VARIATION DENOISING |
Ivan Selesnick; Polytechnic Institute of New York University |
SPTM-P6.6: RENOVATION OF ARCHIVE AUDIO RECORDINGS USING SPARSE AUTOREGRESSIVE MODELING AND BIDIRECTIONAL PROCESSING |
Maciej Niedzwiecki; Gdansk University of Technology |
Marcin Ciolek; Gdansk University of Technology |
SPTM-P6.7: RECURSIVE ROBUST PCA OR RECURSIVE SPARSE RECOVERY IN LARGE BUT STRUCTURED NOISE |
Chenlu Qiu; Iowa State University |
Namrata Vaswani; Iowa State University |
Leslie Hogben; Iowa State University |
SPTM-P6.8: HOW GOOD IS YOUR SUPER-RESOLUTION IMAGE? QUALITY ASSURANCE IN IMAGE RECONSTRUCTION USING THE BOOTSTRAP |
Christian Debes; AGT International |
Christian Weiss; Technische Universität Darmstadt |
Abdelhak M. Zoubir; Technische Universität Darmstadt |
SPTM-P6.9: A FURTHER IMPROVEMENT OF A FAST DAMPED GAUSS-NEWTON ALGORITHM FOR CANDECOMP-PARAFAC TENSOR DECOMPOSITION |
Petr Tichavsky; Institute of Information Theory and Automation |
Anh-Huy Phan; Brain Science Institute, RIKEN |
Andrzej Cichocki; RIKEN Brain Science Institute |
SPTM-P6.10: SEQUENTIAL FOCUS EVALUATION OF SYNTHETIC APERTURE SONAR IMAGES |
Stefan Leier; Technische Universität Darmstadt |
Abdelhak M. Zoubir; Technische Universität Darmstadt |
Johannes Groen; ATLAS ELEKTRONIK GmbH |
SPTM-P6.11: RECONSTRUCTION OF INTEGERS FROM PAIRWISE DISTANCES |
Kishore Jaganathan; California Institute of Technology |
Babak Hassibi; California Institute of Technology |
SPTM-P6.12: LEARNING PHASE-INVARIANT DICTIONARIES |
Graeme Pope; ETH Zurich |
Céline Aubel; ETH Zurich |
Christoph Studer; Rice University |
SPTM-P6.13: A PROXIMAL APPROACH FOR OPTIMIZATION PROBLEMS INVOLVING KULLBACK DIVERGENCES |
Mireille El Gheche; Université Paris-Est |
Jean-Christophe Pesquet; Université Paris-Est |
Joumana Farah; Holy-Spirit University of Kaslik |
SPTM-P6.14: INFERENCE OF POISSON COUNT PROCESSES USING LOW-RANK TENSOR DATA |
Juan Andrés Bazerque; University of Minnesota |
Gonzalo Mateos; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |