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ICASSP
2009
IEEE
15 years 4 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 3 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 3 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 1 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
ICASSP
2010
IEEE
14 years 10 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...