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In the second algorithm, the receiver matrices are optimized in the same way as the first algorithm.
Otherwise, let n:=n+1 and go to step 2. In the proposed Algorithm 1, all source precoding matrices are optimized together through b, while all relay precoding matrices are updated together through f.
In this paper, we present a locally optimal solution of the joint optimization problem over W i, V i, and F i, where i=1,2, which can be solved by three stages, i.e., (1) the linear receiver weighted matrices are optimized with the fixed source precoding matrix V i and relay amplifying matrices F i (W i is not in constraint (15)).
The prediction matrices are optimized for each utterance by minimizing the power of an iteratively re-weighted prediction error.
To achieve power-efficient communication, beamforming coefficient matrices are optimized based on three criteria which are designed based on the minimal output SNR and relay transmission power.
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The effects of solvent, ethanol and acetonitrile, neutral organic base, ethyl and propylamines, H3C CH2)nNH2 (n=1, 2), and material mass, 30 and 40 mg, on amine insertion in both lamellar inorganic matrices was optimized using a full factorial design.
The two new matrices were optimized with two different cutoff values: -2.0 for the mono-nucleotide and -3.5 for the di-nucleotide matrix.
Simple repeats and low complexity regions were not masked, which means they were not excluded as start sites for a BLAST match, and the matrix was optimized for 42% GC content based on sub-loci optimization pre-runs.
The measurement matrix is optimized by FAWC and WCM, respectively.
(c) The measurement matrix is optimized on the basis of complex matrix, rather than optimizing real measurement matrix.
The stability of this cation exchange chromatographic matrix was optimized by using an experimental design tool.
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