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» Compressed Sensing of Analog Signals
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CORR
2007
Springer
136views Education» more  CORR 2007»
13 years 9 months ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut
ICASSP
2011
IEEE
13 years 1 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
ICASSP
2011
IEEE
13 years 1 months ago
A low-power implantable neuroprocessor on nano-FPGA for Brain Machine interface applications
This paper presents the implementation of a low-power and implantable neuroprocessor on low-cost nano-FPGA for data reduction and on-the-fly spike sorting in Brain Machine Interfa...
Fei Zhang, Mehdi Aghagolzadeh, Karim G. Oweiss
ICASSP
2011
IEEE
13 years 1 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
VTC
2010
IEEE
195views Communications» more  VTC 2010»
13 years 7 months ago
Efficiency of Distributed Compression and Its Dependence on Sensor Node Deployments
Abstract--In this paper we analyze the energy-efficiency of distributed compression and its dependence on the node deployment strategies for Wireless Sensor Networks (WSNs). Reduce...
Frank Oldewurtel, Janne Riihijärvi, Petri M&a...