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» Recovery of Sparsely Corrupted Signals
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CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 3 days ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...
KBSE
2007
IEEE
13 years 11 months ago
Assertion-based repair of complex data structures
Programmers have long used assertions to characterize properties of code. An assertion violation signals a corruption in the program state. At such a state, it is standard to term...
Bassem Elkarablieh, Ivan Garcia, Yuk Lai Suen, Sar...
ICIP
2010
IEEE
13 years 3 months ago
Streaming Compressive Sensing for high-speed periodic videos
The ability of Compressive Sensing (CS) to recover sparse signals from limited measurements has been recently exploited in computational imaging to acquire high-speed periodic and...
M. Salman Asif, Dikpal Reddy, Petros Boufounos, As...
CIMAGING
2009
120views Hardware» more  CIMAGING 2009»
13 years 6 months ago
Dantzig selector homotopy with dynamic measurements
The Dantzig selector is a near ideal estimator for recovery of sparse signals from linear measurements in the presence of noise. It is a convex optimization problem which can be r...
Muhammad Salman Asif, Justin K. Romberg
CVPR
2011
IEEE
13 years 1 months ago
Camera Calibration with Lens Distortion from Low-rank Textures
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma