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For instance, at T 60=250 ms, it improves the SDR by 1.7, 1.6, 2.8, and 4.2 dB compared to ML blind init, ML geom init, binary masking, and ℓ 0 -norm minimization, respectively.
ML geom.
By comparing the first two lines with the last two lines, it appears that ML geom.
These results are shown against the corresponding upper bounds obtained with oracle permutation alignment in Table 3. Again, MAP Gaussian significantly outperforms ML geom.
Table 2 SDR (dB) of the SIEM algorithms with estimated vs. oracle permutation T 60 50 ms 130 ms 250 ms 500 ms Estimated ML geom.
Table 3 SDR (dB) of the SSEM algorithms with estimated vs. oracle permutation T 60 50 ms 130 ms 250 ms 500 ms Estimated ML geom.
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ML: Nothing.
ML: No.
ML: Yes.
ML January, Sky One.
ML: It is.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com