Y = step(H,X)
Y = step(H,X,XT)
Y = step(H,X,ANG)
Y = step(H,X,XT,ANG)
[Y,W] =
step(___)
Note:
Starting in R2016b, instead of using the 
performs
MVDR beamforming on the input, Y
= step(H
,X
)X
, and returns
the beamformed output in Y
. This syntax uses X
as
the training samples to calculate the beamforming weights.
uses Y
= step(H
,X
,XT
)XT
as
the training samples to calculate the beamforming weights. This syntax
is available when you set the TrainingInputPort
property
to true
.
uses Y
= step(H
,X
,ANG
)ANG
as
the beamforming direction. This syntax is available when you set the DirectionSource
property
to 'Input port'
.
combines
all input arguments. This syntax is available when you set the Y
= step(H
,X
,XT
,ANG
)TrainingInputPort
property
to true
and set the DirectionSource
property
to 'Input port'
.
[
returns the beamforming weights, Y
,W
] =
step(___)W
.
This syntax is available when you set the WeightsOutputPort
property
to true
.
Note:
The object performs an initialization the first time the 

Beamformer object. 

Input signal, specified as an MbyN matrix.
If the sensor array contains subarrays, N is the
number of subarrays; otherwise, N is the number
of elements. If you set the 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. 

Training samples, specified as a PbyN matrix. If the sensor array contains subarrays, N is the number of subarrays; otherwise, N is the number of elements. P must be larger 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. 

Beamforming directions, specified as a tworow matrix. Each column has the form [AzimuthAngle; ElevationAngle], in degrees. Each azimuth angle must be between –180 and 180 degrees, and each elevation angle must be between –90 and 90 degrees. 

Beamformed output. 

Beamforming weights. 