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The slow variation of SDR for large may be related to the least-squares matrix inversion process.
The proposed SIC increases the system throughput, but also simplifies the covariance matrix inversion process required for both the EE and the ES allocations.
During matrix inversion process, all the matrix element in (H H H −1 should be normalized by determinant Δ = det H H H = N 0 2 N 1 2 − C 2. However, due to fixed-point implementation complexity and numerical instability issues, division operation by the determinant should be avoided if possible.
In the matrix inversion process, using the reduced weight matrix can save lots of time compared with the original weight matrix.
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where F 0=D. Due to the D matrix is diagonal matrix, its inversion process is simple and efficient.
Except for the matrix inversion, the other processes only contain matrix-vector multiplications and cost little time.
It is also shown that interaction of the loudspeakers can be significantly reduced by using directive sources, thus lowering supplying voltages and condition number of the matrix inversion required by the control process.
This iterative process, with a covariance matrix inversion in each iteration, is repeated until all the energies converge to fixed values.
From matrix inversion lemma [33], the inverse matrix of J is: (21).
The matrix is then updated during the iterative least squares inversion process used to derive the model.
Polydimethylsiloxane (PDMS) has been used as host matrix to prepare hybrid membranes, by a dry phase inversion process, where fillers with different surface and molecular sieving properties have been dispersed.
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