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• W3204684576 abstract "In this paper, the optimal source model for the independent vector analysis (IVA) algorithm towards maximizing the output signal-to-interference ratio (SIR) is mathematically derived, and the corresponding optimal weighted covariance matrix is proved to be the covariance matrix of interference signals. A new algorithm framework called minimum variance IVA (MVIVA) is further proposed, where the deep neural network-based estimation of the interference covariance matrix is combined with the IVA-based estimation of the demixing matrix. Experimental results show the superiority of the proposed source model, and the MVIVA algorithm outperforms the original IVA algorithm by 9.6 dB in SIR and 5.8 dB in signal-to-distortion ration (SDR) on average." @default.
• W3204684576 created "2021-10-11" @default.
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• W3204684576 date "2021-10-07" @default.
• W3204684576 modified "2023-09-25" @default.
• W3204684576 title "The Source Model Towards Maximizing The Output Signal-To-Interference Ratio For Independent Vector Analysis." @default.
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• W3204684576 hasPublicationYear "2021" @default.
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