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The Uniform Noise Generator block generates uniformly distributed noise. The output data of this block is uniformly distributed between the specified lower and upper bounds. The upper bound must be greater than or equal to the lower bound.
You must specify the Initial seed in the simulation. When it is a constant, the resulting noise is repeatable.
If all the elements of the output vector are to be independent and identically distributed (i.i.d.), then you can use a scalar for the Noise lower bound and Noise upper bound parameters. Alternatively, you can specify the range for each element of the output vector individually, by using vectors for the Noise lower bound and Noise upper bound parameters. If the bounds are vectors, then their length must equal the length of the Initial seed parameter.
The output signal can be a frame-based matrix, a sample-based row or column vector, or a sample-based one-dimensional array. These attributes are controlled by the Frame-based outputs, Samples per frame, and Interpret vector parameters as 1-D parameters.
The number of elements in the Initial seed parameter becomes the number of columns in a frame-based output or the number of elements in a sample-based vector output. Also, the shape (row or column) of the Initial seed parameter becomes the shape of a sample-based two-dimensional output signal.
The lower and upper bounds of the interval over which noise is uniformly distributed.
The initial seed value for the random number generator.
The period of each sample-based vector or each row of a frame-based matrix.
Determines whether the output is frame-based or sample-based. This box is active only if Interpret vector parameters as 1-D is unchecked.
The number of samples in each column of a frame-based output signal. This field is active only if Frame-based outputs is checked.
If this box is checked, then the output is a one-dimensional signal. Otherwise, the output is a two-dimensional signal. This box is active only if Frame-based outputs is unchecked.
The output can be set to double or single data types.