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The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm

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Figure

Fig. 1.In the following, the L loudspeaker signals are describedby the matrix X(k) which captures the individual sam-ples xl(k) of loudspeaker channel l (l = 0, 1,
Fig. 2 Exemplary structure of matrices to describe a convolution for
Fig. 3 Resulting structure of the loudspeaker signal autocorrelationmatrix for L = 3, M = 2
Fig. 4 Structure of the DFT-domain loudspeaker signals for L = 3,M = 2
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