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• W1605129488 abstract "A discrete filtering framework is proposed for multiscale feature detection. The approach starts by choosing the sampling rate for the highest resolution filter of a given signal. Subsequently, a bank of filters for a multiscale representation of that signal is designed by least-square approximation. With this signal representation, multiscale maximum a-posteriori (MAP) detectors are designed for the detection of specific features, such as impulses and edges, without specific knowledge of the signal, the appropriate scale of detection and noise. The approach enables the detection of features with very little or no prior information." @default.
• W1605129488 created "2016-06-24" @default.
• W1605129488 creator A5002282875 @default.
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• W1605129488 date "2002-11-19" @default.
• W1605129488 modified "2023-09-26" @default.
• W1605129488 title "On multi-scale feature detection using filter banks" @default.
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• W1605129488 doi "https://doi.org/10.1109/acssc.1995.540516" @default.
• W1605129488 hasPublicationYear "2002" @default.
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