Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics
DOI: 10.1109/host.1997.613492
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Blind identification methods applied to Electricite de France's civil works and power plants monitoring

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Cited by 3 publications
(3 citation statements)
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“…This is the case for example in the interference mitigation problem in [27] or in the power plants monitoring applications [28]. In this situation, the partial identifiability result is of high interest as it proves that the desired source signal can still be extracted even if a complete source separation cannot be achieved.…”
Section: Resampling Techniquesmentioning
confidence: 99%
“…This is the case for example in the interference mitigation problem in [27] or in the power plants monitoring applications [28]. In this situation, the partial identifiability result is of high interest as it proves that the desired source signal can still be extracted even if a complete source separation cannot be achieved.…”
Section: Resampling Techniquesmentioning
confidence: 99%
“…-In many practical situations, one might be interested by only one or few source signals. This is the case for example in the interference mitigation problem in [11] or in the power plants monitoring applications [12]. In this situation, the partial identifiability result is of high interest as it proves that the desired source signal can still be extracted even if a complete source separation cannot be achieved.…”
Section: Discussionmentioning
confidence: 99%
“…A similar approach was discussed for application in nondestructive testing on steam generators in nuclear power plants (d'Urso et al, 1997) in order to reduce the flattening noise using a two-order statistical algorithm.…”
Section: Literature Reviewmentioning
confidence: 92%