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• W2117888945 abstract "We consider the construction of multiresolution Gabor dictionaries appropriate for audio signal analysis. Motivated by a desire for parsimony and efficiency, we propose and formalise the idea of reduced multi-Gabor systems, showing that they constitute a frame for L/sup 2/(R) and other Hilbert spaces of interest. In order to demonstrate the practicality of such a scheme, we apply it to the atomic decomposition of music and speech signals observed in noise. Qualitative results indicate the potential of this method to yield a salient representation of typical audio signals while at the same time reducing computational costs as compared to a full multiresolution decomposition." @default.
• W2117888945 created "2016-06-24" @default.
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• W2117888945 date "2002-11-13" @default.
• W2117888945 modified "2023-09-25" @default.
• W2117888945 title "Multi-Gabor dictionaries for audio time-frequency analysis" @default.
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• W2117888945 doi "https://doi.org/10.1109/aspaa.2001.969538" @default.
• W2117888945 hasPublicationYear "2002" @default.
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