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ICASSP
2009
IEEE
15 years 9 months ago
Compressive sampling of pulse trains: Spread the spectrum!
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This...
Farid M. Naini, Rémi Gribonval, Laurent Jac...
ITCC
2005
IEEE
15 years 8 months ago
Impact of Java Compressed Heap on Mobile/Wireless Communication
M-commerce has shown up as e-commerce in mobile and wireless communication, and now deals with on-line banking, stock trading, auctions, transactions, and mobile media. M-commerce...
Mayumi Kato, Chia-Tien Dan Lo
DCC
2003
IEEE
15 years 8 months ago
Rate-Distortion Bound for Joint Compression and Classification
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
Yanting Dong, Lawrence Carin
ADVIS
2004
Springer
15 years 6 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
139
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ICASSP
2010
IEEE
15 years 3 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...