Underdetermined Joint Blind Source Separation for Two Datasets Based on Tensor Decomposition

IEEE Signal Processing Letters, pp. 673-677, 2016.

Cited by: 11|Views6
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Abstract:

In this letter, we aim to jointly separate the underdetermined mixtures of latent sources from two datasets, where the number of sources exceeds the number of observations in each dataset. Currently available blind source separation (BSS) methods, including joint blind source separation (JBSS) and underdetermined blind source separation (...More

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