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» Compressed Sensing and Source Separation
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DCC
2008
IEEE
14 years 7 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
IPSN
2009
Springer
14 years 2 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
TIT
1998
90views more  TIT 1998»
13 years 7 months ago
Source Codes as Random Number Generators
—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asy...
Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio ...
INTERSPEECH
2010
13 years 2 months ago
Automatic selection of thresholds for signal separation algorithms based on interaural delay
In this paper we describe a system that separates signals by comparing the interaural time delays (ITDs) of their timefrequency components to a fixed threshold ITD. While in previ...
Chanwoo Kim, Richard M. Stern, Kiwan Eom, Jaewon L...
ICIP
2001
IEEE
14 years 9 months ago
Bayesian resolution-enhancement framework for transform-coded video
Resolution enhancement for video sequences has always been an attractive application in multimedia signal processing. "Superresolution" methods, that combine non-redunda...
Bahadir K. Gunturk, Yucel Altunbasak, Russell M. M...