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» Statistical signal processing approaches to fault detection
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ICASSP
2009
IEEE
14 years 2 months ago
Adaptive quickest change detection with unknown parameter
Quickest detection of an abrupt distribution change with an unknown time varying parameter is considered. A novel adaptive approach is proposed to tackle this problem, which is sh...
Chengzhi Li, Huaiyu Dai, Husheng Li
ISBI
2009
IEEE
14 years 2 months ago
A Compressed Sensing Approach for Biological Microscopic Image Processing
In fluorescence microscopy the noise level and the photobleaching are cross-dependent problems since reducing exposure time to reduce photobleaching degrades image quality while ...
Marcio de Moraes Marim, Elsa D. Angelini, Jean-Chr...
DATE
2008
IEEE
84views Hardware» more  DATE 2008»
14 years 2 months ago
Physically-Aware N-Detect Test Pattern Selection
N-detect test has been shown to have a higher likelihood for detecting defects. However, traditional definitions of Ndetect test do not necessarily exploit the localized characte...
Yen-Tzu Lin, Osei Poku, Naresh K. Bhatti, Ronald D...
ICASSP
2010
IEEE
13 years 8 months ago
Two novel compressed-sensing algorithms for NBI detection in OFDM systems
We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) syste...
Ahmad Gomaa, K. M. Zahidul Islam, Naofal Al-Dhahir
AVSS
2007
IEEE
14 years 2 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen