SPTM-P9.2
LEARNING EXPLICITLY CONDITIONED SPARSIFYING TRANSFORMS
Andrei Pătrașcu, Cristian Rusu, Paul Irofti, University of Bucharest, Romania
Session:
SPTM-P9: Transforms Poster
Track:
Signal Processing Theory and Methods [TM]
Location:
Poster Area 1
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session SPTM-P9
SPTM-P9.1: BSMP-SENET:BAND-SPLIT MAGNITUDE-PHASE NETWORK FOR SPEECH ENHANCEMENT
Ju Xuezhou, JiangSu University, China
SPTM-P9.2: LEARNING EXPLICITLY CONDITIONED SPARSIFYING TRANSFORMS
Andrei Pătrașcu, Cristian Rusu, Paul Irofti, University of Bucharest, Romania
SPTM-P9.3: On Multiangle Discrete Fractional Periodic Transforms
Christian Oswald, Franz Pernkopf, Graz University of Technology, Austria
SPTM-P9.4: A FAST ALGORITHM FOR COMPUTATION OF GENERAL INTEGER-ORDER HANKEL TRANSFORMS
Amitava Ghosh, Institute of Engineering & Management, India; Anindya S. Dhar, Indrajit Chakrabarti, Indian Institute of Technology, Kharagpur, India
SPTM-P9.5: A mixed precision FFT with applications in MRI
Nikhil Deveshwar, UC Berkeley-UCSF Graduate Program in Bioengineering, United States of America; Abhejit Rajagopal, Allen Institute, United States of America; Peder Larson, UC Berkeley-UCSF Graduate Program in Bioengineering, United States of America
SPTM-P9.6: ASYMPTOTIC ANALYSIS OF SYNCHRONOUS SIGNAL PROCESSING
Marc Vilà-Insa, Jaume Riba, Universitat Politècnica de Catalunya (UPC), Spain
Contacts