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» Causal signal recovery from U-invariant samples
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ICCV
2011
IEEE
12 years 7 months ago
Imaging via Three-dimensional Compressive Sampling
Compressive sampling (CS) aims at acquiring a signal at a sampling rate that is significantly below the Nyquist rate. Its main idea is that a signal can be decoded from incomplet...
Xianbiao Shu, Narendra Ahuja
TSP
2011
140views more  TSP 2011»
13 years 2 months ago
Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging and radar. The recent finite rate of innovation framework, has paved the way to lo...
Ronen Tur, Yonina C. Eldar, Zvi Friedman
CORR
2008
Springer
178views Education» more  CORR 2008»
13 years 7 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
ICIP
2010
IEEE
13 years 4 months ago
Filterbank-based universal demosaicking
Recent advances in spatio-spectral sampling and panchromatic pixels have contributed to increased spatial resolution and enhanced noise performance. As such, it is necessary to co...
Jing Gu, Patrick J. Wolfe, Keigo Hirakawa