The algorithm includes adaptation of covariance matrix which is basically an alternative method of traditional Quasi-Newton method for optimization based on gradient method.
The SNR-dependent smoothing parameters a and b in the adaptation of covariance matrices are set to and 0.9, respectively, to make the smoothing factor become 0 and 1 at the SNRs of 30 dB and dB, respectively.
The algorithm is an adaptation of Williams' matrix-vector multiplication algorithm over a finite semiring [ 13], with some notions similar to those in Frid and Gusfield's RNA folding algorithm [ 14].
This bond, the nitrogen analog of a sulfoxide, appears to have arisen at the divergence of sponge and cnidaria, an adaptation of the extracellular matrix in response to mechanical stress in metazoan evolution.
In practice, however, MLLR is frequently applied to the mean vectors only [57 60] while neglecting the adaptation of the covariance matrix: begin{array}rcl@ mathbf{C}_{mathbf{y}|k_{n}} = mathbf{C}_{mathbf{x}|k_{n}}.
The results compare two approaches: an optimization using a reference signal from the second sensor mounted to the same UAV, and an adaptation of the covariance matrix R based on innovation.
Our approach is an adaptation of the binding matrix (BM) technique for transcription factor binding site classification [ 16], a method that was designed to systematically maximise specificity in searches for transcription factor binding sites.
(b) Sophisticated update schemes Using sophisticated update schemes reduces the complexity of matrix adaptation, such as the scheme that adapting the parity-check matrix from the previous ones proposed by EI-Khamy and McEliece [16], which reduces the overall complexityby 75%. .
Otherwise, the decoder continues to perform the next round of matrix adaptation.
The advantages of matrix adaptation are as follows: (1) It reduces the density of the original parity-check matrix H and eliminates part of short cycles.
