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ICASSP
2011
IEEE
12 years 8 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti
ICASSP
2010
IEEE
13 years 4 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...
ICASSP
2009
IEEE
13 years 11 months ago
Multiterminal source coding of Bernoulli-Gaussian correlated sources
This paper presents a practical coding scheme for the direct symmetric multiterminal source coding problem with remote source, when the noise between the remote source and the obs...
Francesca Bassi, Michel Kieffer, Çagatay Di...
ICPR
2006
IEEE
14 years 5 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...
NIPS
2008
13 years 6 months ago
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
The synchronous brain activity measured via MEG (or EEG) can be interpreted as arising from a collection (possibly large) of current dipoles or sources located throughout the cort...
David P. Wipf, Julia Owen, Hagai Attias, Kensuke S...