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» Statistical signal processing approaches to fault detection
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ICASSP
2010
IEEE
13 years 8 months ago
Bridge detection and robust geodesics estimation via random walks
We propose an algorithm for detecting bridges and estimating geodesic distances from a set of noisy samples of an underlying manifold. Finding geodesics on a nearest neighbors gra...
Eugene Brevdo, Peter J. Ramadge
VTS
2000
IEEE
167views Hardware» more  VTS 2000»
14 years 5 days ago
Path Selection for Delay Testing of Deep Sub-Micron Devices Using Statistical Performance Sensitivity Analysis
The performance of deep sub-micron designs can be affected by various parametric variations, manufacturing defects, noise or even modeling errors that are all statistical in natur...
Jing-Jia Liou, Kwang-Ting Cheng, Deb Aditya Mukher...
ICASSP
2008
IEEE
14 years 2 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
ICIP
2002
IEEE
14 years 9 months ago
Detecting hidden messages using higher-order statistical models
Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become c...
Hany Farid
DATE
2002
IEEE
98views Hardware» more  DATE 2002»
14 years 22 days ago
A New ATPG Algorithm to Limit Test Set Size and Achieve Multiple Detections of All Faults
Deterministic observation and random excitation of fault sites during the ATPG process dramatically reduces the overall defective part level. However, multiple observations of eac...
Sooryong Lee, Brad Cobb, Jennifer Dworak, Michael ...