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ICASSP
2008
IEEE
15 years 4 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. ...
ICIP
2008
IEEE
15 years 4 months ago
Best post-transforms selection in a rate-distortion sense
This paper deals with the optimization of a new technique of image compression. After the wavelet transform of an image, blocks of coefficients are further linearly decomposed us...
Xavier Delaunay, Emmanuel Christophe, Carole Thieb...
SSIAI
2002
IEEE
15 years 2 months ago
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard
We present results quantifying the exploitability of compressed remote sensing imagery. The performance of various feature extraction and classification tasks is measured on hype...
Mihaela D. Pal, Christopher M. Brislawn, Steven P....
ICASSP
2009
IEEE
15 years 4 months ago
Compressive spectral estimation for nonstationary random processes
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
Alexander Jung, Georg Tauböck, Franz Hlawatsc...