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ICASSP
2011
IEEE
14 years 8 months ago
Local probability distribution of natural signals in sparse domains
—In this paper we investigate the local probability density function (pdf) of natural signals in sparse domains. The statistical properties of natural signals are characterized m...
Hossein Rabbani, Saeed Gazor
132
Voted
ICIP
2006
IEEE
16 years 6 months ago
Tomographic Approach for Sampling Multidimensional Signals with Finite Rate of Innovation
Recently, it was shown that it is possible to sample classes of 1D and 2-D signals with finite rate of innovation (FRI) [9, 4, 5, 3, 2, 7]. In particular, in [7], we presented loc...
Pancham Shukla, Pier Luigi Dragotti
INFOCOM
2009
IEEE
15 years 11 months ago
Topological Data Processing for Distributed Sensor Networks with Morse-Smale Decomposition
Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...
Xianjin Zhu, Rik Sarkar, Jie Gao
ICASSP
2008
IEEE
15 years 11 months ago
Collusion-aware traitor tracing in multimedia fingerprinting using sparse signal approximation
We pose the problem of tracing traitors, who have colluded to circumvent a multimedia fingerprinting system, as a sparse underdetermined linear problem. We propose a range of det...
David P. Varodayan, Christine Pépin
141
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Revisiting adaptive least-squares estimation and application to online sparse signal recovery
This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
Konstantinos Slavakis, Yannis Kopsinis, Sergios Th...