System object: comm.gpu.AWGNChannel
Add white Gaussian noise to input signal
Y = step(H,X)
Y = step(H,X,VAR)
Starting in R2016b, instead of using the
step method to perform the operation defined by the System
object™, you can call the object with arguments, as if it were a function. For example,
y = step(obj,x) and
y = obj(x) perform equivalent operations.
Y = step(H,X) adds white Gaussian noise
X and returns the result in
X can be a double or single precision
data type scalar, vector, or matrix with real or complex values. The
dimensions of input
X determine single or multichannel
processing. For an
M represents the number of time samples
per channel and
N represents the number of channels.
be equal to
1. The object adds frames of length
Gaussian noise to each of the
N channels independently.
Y = step(H,X,VAR) uses input
VAR as the variance of
the white Gaussian noise. This applies when you set the NoiseMethod property to
Variance and the VarianceSource property
Input port. Input
VAR can be a positive
scalar or row vector with a length equal to the number of channels.
VAR must be of the same data type as input
obj specifies the System
which to run this
The object performs an initialization the first time the
is executed. This initialization locks nontunable
properties (MATLAB) and input specifications, such as dimensions,
complexity, and data type of the input data. If you change a nontunable
property or an input specification, the System
object issues an
error. To change nontunable properties or inputs, you must first call
release method to unlock the object.