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In exampleR_n in rake_mvdr_filters is set to R_n=sigma2_n * np.eye(mics.Lg * mics.M).
I guess that R_n is the noise covariance matrix and when processing a signal from real microphones it should be calculated based on the recorded signal. But I can't figure out how to correctly calculate R_n so that its dimensions match [mics.Lg * mics.M, mics.Lg * mics.M].
Maybe an explanation of the meaning of filter size Lg and beamformer delay would also help to better understand how to tune the beamformer.
The text was updated successfully, but these errors were encountered:
In example
R_n
inrake_mvdr_filters
is set toR_n=sigma2_n * np.eye(mics.Lg * mics.M)
.I guess that
R_n
is the noise covariance matrix and when processing a signal from real microphones it should be calculated based on the recorded signal. But I can't figure out how to correctly calculateR_n
so that its dimensions match[mics.Lg * mics.M, mics.Lg * mics.M]
.Maybe an explanation of the meaning of filter size
Lg
and beamformerdelay
would also help to better understand how to tune the beamformer.The text was updated successfully, but these errors were encountered: