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FOCS
2000
IEEE
14 years 2 months ago
Opportunistic Data Structures with Applications
There is an upsurging interest in designing succinct data structures for basic searching problems (see [23] and references therein). The motivation has to be found in the exponent...
Paolo Ferragina, Giovanni Manzini
GLOBECOM
2008
IEEE
14 years 4 months ago
Distributed Target Tracking with Imperfect Binary Sensor Networks
—We study target tracking with wireless binary sensor networks, in which each sensor can return only 1-bit information regarding target’s presence or absence in its sending ran...
Zijian Wang, Eyuphan Bulut, Boleslaw K. Szymanski
CORR
2008
Springer
144views Education» more  CORR 2008»
13 years 9 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies
ICIP
2009
IEEE
14 years 10 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
SIPS
2007
IEEE
14 years 3 months ago
A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation
A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where im...
Harry. L. Hu, Amine Bermak, Dominique Martinez