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ICASSP
2008
IEEE
16 years 1 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
187
Voted
ICASSP
2007
IEEE
16 years 1 months ago
Inversion of Circular Averages using the Funk Transform
In radar, when the wavelength of the transmitted electromagnetic wave is considerably larger than the dimension of the antenna, the received signal is modeled as the integral of t...
Can Evren Yarman, Birsen Yazici
228
Voted
ICA
2007
Springer
16 years 1 months ago
Morphological Diversity and Sparsity in Blind Source Separation
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
Jérôme Bobin, Yassir Moudden, Jalal F...
167
Voted
ISMIR
2004
Springer
173views Music» more  ISMIR 2004»
16 years 24 days ago
Stochastic Model of a Robust Audio Fingerprinting System
An audio fingerprint is a compact representation of the perceptually relevant parts of audio content. A suitable audio fingerprint can be used to identify audio files, even if ...
Peter Jan O. Doets, Reginald L. Lagendijk
ICA
2007
Springer
15 years 11 months ago
Compact Representations of Market Securities Using Smooth Component Extraction
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
Hariton Korizis, Nikolaos Mitianoudis, Anthony G. ...