70 search results - page 7 / 14 » Recovering signals from lowpass data |
145
click to vote
ICDCS
2006
IEEE
15 years 12 months ago
2006
IEEE
Network coordinates provide a scalable way to estimate latencies among large numbers of hosts. While there are several algorithms for producing coordinates, none account for the f...
152
click to vote
SUTC
2010
IEEE
15 years 4 months ago
2010
IEEE
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
143
click to vote
ICIP
2009
IEEE
16 years 6 months ago
2009
IEEE
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
149
click to vote
CORR
2007
Springer
15 years 5 months ago
2007
Springer
In spatially distributed multiuser antenna systems, the received signal contains multiple carrier-frequency offsets (CFOs) arising from mismatch between the oscillators of transmi...
161
click to vote
ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...