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» On the Processing of Decimated Signals
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ICASSP
2009
IEEE
16 years 21 days ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
ICASSP
2009
IEEE
16 years 21 days ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
ICASSP
2008
IEEE
16 years 12 days ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
ICASSP
2008
IEEE
16 years 12 days ago
High-dynamic range compression using a fast multiscale optimization
to appear in Proc. IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, March, 2008 High-dynamic-range medical images take intensity values which cannot be visualized o...
Matthieu Maitre, Yunqiang Chen, Tong Fang
ICASSP
2008
IEEE
16 years 12 days ago
Query adaptative locality sensitive hashing
It is well known that high-dimensional nearest-neighbor retrieval is very expensive. Many signal processing methods suffer from this computing cost. Dramatic performance gains can...
Herve Jegou, Laurent Amsaleg, Cordelia Schmid, Pat...