Y = step(H,X)
Y = step(H,X,XT)
[Y,W] = step(___)
Note:
Starting in R2016b, instead of using the |
Y = step(H,X)
performs LCMV beamforming
on the input, X
, and returns the beamformed output
in Y
. X
is an M-by-N matrix
where N is the number of elements of the sensor array. Y
is
a column vector of length M.
The size of the first dimension of this input matrix can vary to simulate a changing signal length, such as a pulse waveform with variable pulse repetition frequency.
Y = step(H,X,XT)
uses XT
as
the training samples to calculate the beamforming weights. This syntax
is available when you set the TrainingInputPort
property
to true
. XT
is a P-by-N matrix,
where N is the number of elements of the sensor array. P must be greater
than N.
The size of the first dimension of this input matrix can vary to simulate a changing signal length, such as a pulse waveform with variable pulse repetition frequency.
[Y,W] = step(___)
returns the
beamforming weights W
. This syntax is available
when you set the WeightsOutputPort
property to true
. W
is
a column vector of length N, where N is the number of elements in
the sensor array.
Note:
The object performs an initialization the first time the |