Tue AM1.P: Compressed Sensing and Sparse Modeling
Tue, 5 Sep, 11:00 - 13:00 Finland Time (UTC +3)
Location: Fennia Foyer
Session Type: Poster
Session Chair: Magnus Jansson, KTH Royal Institute of Technology, Sweden
Track: TMTSP - Theoretical and Methodological Trends in Signal Processing

Tue AM1.P.1: Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing
Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu, Academia Sinica, Taiwan

Tue AM1.P.2: Compressed Sensing of Generative Sparse-latent (GSL) Signals
Antoine Honoré, Anubhab Ghosh, Saikat Chatterjee, KTH Royal Institute of Technology, Sweden

Tue AM1.P.3: CONVEX COMBINATION OF COMPRESSED SENSING ALGORITHMS
Ketan Atul Bapat, Mrityunjoy Chakraborty, Indian Institute of Technology Kharagpur, India

Tue AM1.P.4: Model Selection in High-Dimensional Block-Sparse General Linear Regression
Prakash Borpatra Gohain, Ericsson, Sweden; Magnus Jansson, KTH Royal Institute of Technology, Sweden, Sweden

Tue AM1.P.5: A Novel Approach for Solving MPI for Multi-Target ToF Imaging using Subdivision-based Nested Compressed Sensing
Sanhita Guha, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany; Faisal Ahmed, Miguel Heredia Conde, University of Siegen, Germany

Tue AM1.P.6: Compressive Sampling Patterns for Sparse Recovery via Discrete Cosine Transform Type-I Even
María Elena Domínguez-Jiménez, Universidad Politécnica de Madrid, Spain

Tue AM1.P.7: On the Formulation of Coded Demodulation and 3D Reconstruction in Rotating PB-ToF sensors
Alvaro Lopez Paredes, Miguel Heredia Conde, University of Siegen, Germany

Tue AM1.P.8: NEGATIVE BINOMIAL OPTIMIZATION FOR LOW-COUNT OVERDISPERSED SPARSE SIGNAL RECONSTRUCTION
Yu Lu, Roummel F. Marcia, University of California, Merced, United States

Tue AM1.P.9: Reconstruction of Images with Finite Rate of Innovation from Noisy Tomographic Projections
Renke Wang, Imperial College London, United Kingdom; Thierry Blu, The Chinese University of Hong Kong, China; Pier Luigi Dragotti, Imperial College London, United Kingdom