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» Statistical signal processing approaches to fault detection
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ICIP
2000
IEEE
14 years 9 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
ICASSP
2010
IEEE
13 years 8 months ago
Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistic
In this paper we present a noise level estimator using minimal values of the Short Time Fourier Transform of a signal embedded in a white Gaussian noise. The spectral kurtosis of ...
Fabien Millioz, Nadine Martin
AVSS
2008
IEEE
14 years 2 months ago
Automatic Detection of Adverse Weather Conditions in Traffic Scenes
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determin...
Andrea Lagorio, Enrico Grosso, Massimo Tistarelli
EAAI
2010
91views more  EAAI 2010»
13 years 7 months ago
A framework for on-line trend extraction and fault diagnosis
: Qualitative trend analysis (QTA) is a process-history-based data-driven technique that works by extracting important features (trends) from the measured signals and evaluating th...
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan ...
ICASSP
2007
IEEE
13 years 11 months ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel