Sentence examples for matrix of channel from inspiring English sources

Exact(11)

Let denote the matrix of channel coefficients between the transmitter and the receiver.

However, inter-group interferences exist, because the eigenvector matrix of channel correlation is not exactly equal to the Kronecker product of the azimuth and elevation DFT prebeamformers.

where is 2N × 1 received vector, is a 2N × N matrix of channel coefficients, and is the vector of noise samples.

As for the correlation matrix of (1), we use the correlation matrix of channel from the TGn model of the IEEE 802.11n standard.

where RH = E[H HH] denotes the autocovariance matrix of channel coefficient in FD, RN = E[N NH] is the covariance matrix of the noise, −1 denotes the inverse operation of a matrix.

where y LLSE refers to the LLSE estimate of measurement y, Λ y is the covariance matrix of y (which will be transmitted as metadata), and Σ is the covariance matrix of channel noise n.

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Similar(49)

We just did the Sonic Arboretum show in Chicago and for that we hooked up my pedal board to a Tascam X-48 Hard Disk Recorder and you have 48[liness] out, so we could create this matrix of channels going out to these groups and clusters of [speaker] horns.

Let r 1 ( n ), …, r R ̄ n ( n ), be the entries of R ̄ n and let us define the M ν n × | | R ̄ n | | -size matrix of channels from all MTs transmitting on RB ζ n, except the channel from T ( n ), as H ~ n = [ H r 1 ( n ), H r 2 ( n ), …, H r | | R ̄ n | | ( n ) ]. (7).

Based on the analysis in Section 3.2, the complexities of algorithms mainly come from the operations of matrix product and EVD, involving channel correlations, eigenvector matrices of channel correlations, and the DFT prebeamforming.

A matrix representation of channel model is provided for which the equivalent additional noise is shown to be a Gaussian distributed random vector.

Exploiting the noncorrelation property of channels of a different link, we can obtain the autocorrelation matrix of the channel vector : (9).

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