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Journal Articles Signal Processing Year : 2022

Multi-resolution beta-divergence NMF for blind spectral unmixing

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Abstract

Many datasets are obtained as a resolution trade-off between two adversarial dimensions; for example between the frequency and the temporal resolutions for the spectrogram of an audio signal, and between the number of wavelengths and the spatial resolution for a hyper/multi-spectral image. To perform blind source separation using observations with different resolutions, a standard approach is to use coupled nonnegative matrix factorizations (NMF).
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Dates and versions

hal-03799222 , version 1 (05-10-2022)

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Valentin Leplat, Nicolas Gillis, Cédric Févotte. Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Processing, 2022, 193, pp.108428. ⟨10.1016/j.sigpro.2021.108428⟩. ⟨hal-03799222⟩
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