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TIT
2010
174views Education» more  TIT 2010»
13 years 2 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
ICCV
2009
IEEE
15 years 23 days ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir
ICCV
2001
IEEE
14 years 9 months ago
A General Imaging Model and a Method for Finding its Parameters
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This...
Michael D. Grossberg, Shree K. Nayar
ICIP
2009
IEEE
14 years 8 months ago
Modified Compressive Sensing For Real-time Dynamic Mr Imaging
In this work, we propose algorithms to recursively and causally reconstruct a sequence of natural images from a reduced number of linear projection measurements taken in a domain ...
SJ
2010
136views more  SJ 2010»
13 years 2 months ago
Optimizing the Migration to Future-Generation Passive Optical Networks (PON)
We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migr...
M. De Andrade, Massimo Tornatore, S. Sallent, Bisw...