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ICASSP
2008
IEEE
16 years 26 days ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
ISCAS
2008
IEEE
84views Hardware» more  ISCAS 2008»
16 years 24 days ago
Pulse-based signal compression for implanted neural recording systems
— Today’s implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either ...
John G. Harris, Jose C. Principe, Justin C. Sanche...
SIBGRAPI
2005
IEEE
15 years 12 months ago
Reduction of Interband Correlation for Landsat Image Compression
We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wave...
Daniel G. Acevedo, Ana M. C. Ruedin
SMI
2003
IEEE
138views Image Analysis» more  SMI 2003»
15 years 11 months ago
Higher Order Prediction for Geometry Compression
A lot of techniques have been developed for the encoding of triangular meshes as this is a widely used representation for the description of surface models. Although methods for t...
Stefan Gumhold, Rachida Amjoun
SOFTVIS
2010
ACM
15 years 6 months ago
Towards anomaly comprehension: using structural compression to navigate profiling call-trees
Developers must often diagnose anomalies in programs they only have a partial knowledge of. As a result, they must simultaneously reverse engineer parts of the system they are unf...
Shen Lin 0003, François Taïani, Thomas...