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» Recovery of Sparsely Corrupted Signals
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CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
14 years 4 months 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
15 years 3 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
14 years 7 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»
14 years 10 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
14 years 6 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