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ICASSP
2008
IEEE
15 years 4 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
FPL
2008
Springer
207views Hardware» more  FPL 2008»
14 years 11 months ago
Bitstream compression techniques for Virtex 4 FPGAs
This paper examines the opportunity of using compression for accelerating the (re)configuration of FPGA devices, focusing on the choice of compression algorithms, and their hardwa...
Radu Stefan, Sorin Dan Cotofana
CORR
2007
Springer
94views Education» more  CORR 2007»
14 years 9 months ago
Pushdown Compression
The pressing need for efficient compression schemes for XML documents has recently been focused on stack computation [6, 9], and in particular calls for a formulation of informati...
Pilar Albert, Elvira Mayordomo, Philippe Moser, Sy...
ECML
2000
Springer
15 years 2 months ago
Layered Learning
We examine how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compres...
Peter Stone, Manuela M. Veloso
FUIN
2007
116views more  FUIN 2007»
14 years 9 months ago
Path Compression in Timed Automata
The paper presents a method of abstraction for timed systems. To extract an abstract model of a timed system we propose to use static analysis, namely a technique called path compr...
Agata Janowska, Wojciech Penczek