Noise enhanced detection in the restricted Bayesian framework
Date
2010Source Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Print ISSN
15206149
Pages
3778 - 3781
Language
English
Type
Conference PaperItem Usage Stats
53
views
views
34
downloads
downloads
Metadata
Show full item recordAbstract
Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for improvability or nonimprovability of detection via additive noise are obtained. A detection example is presented to study the theoretical results. ©2010 IEEE.
Keywords
DetectionMinimax
Noise enhanced detection
Restricted Bayes
Stochastic resonance
Detection
Minimax
Noise-enhanced detection
Restricted Bayes
Stochastic resonances
Additive noise
Circuit resonance
Detectors
Magnetic resonance
Optimization
Signal processing
Stochastic systems
Signal detection
Permalink
http://hdl.handle.net/11693/28533Published Version (Please cite this version)
http://dx.doi.org/10.1109/ICASSP.2010.5495847Collections
Related items
Showing items related by title, author, creator and subject.
-
A multi-modal video analysis approach for car park fire detection
(Elsevier, 2013)In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ... -
Systematic evaluation of face detection algorithms on news videos
(2007)People are the most important subjects in news videos and for proper retrieval of people images; face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due ... -
Ambient assisted smart home design using vibration and PIR sensors
(2013)Intelligent ambient assisted living systems for elderly and handicapped people become affordable with the recent advances in computer and sensor technologies. In this paper, fall detection algorithm using multiple passive ...
