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CORR
2011
Springer
148views Education» more  CORR 2011»
14 years 8 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
CHI
2008
ACM
15 years 2 months ago
Supporting orientation for blind people using museum guides
Novel environments exploiting recent technology can enhance several tasks in applications such as mobile guides. However, in the many museum mobile guides that have been proposed,...
Giuseppe Ghiani, Barbara Leporini, Fabio Patern&og...
ICASSP
2008
IEEE
15 years 7 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
TIT
2011
120views more  TIT 2011»
14 years 8 months ago
Deterministic Construction of Binary, Bipolar, and Ternary Compressed Sensing Matrices
—In this paper we establish the connection between the Orthogonal Optical Codes (OOC) and binary compressed sensing matrices. We also introduce deterministic bipolar m × n RIP f...
Arash Amini, Farokh Marvasti
108
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Distributed compressive video sensing
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the...
Li-Wei Kang, Chun-Shien Lu