Signal\Sources
frequency_limited_FOH
frequency_limited_ZOH
unlimited
Domains: Discrete, Continuous. Size: 1-D. Allowed in: Block Diagrams.
This model generates a gaussian noise signal with gaussian distribution and variance 1 and random seed s. The noise is multiplied by the parameter amplitude.
output = amplitude*gauss(1,seed);
The noise signal is limited to a maximum frequency, which can be adjusted (parameter). Values in-between two noise samples are interpolated (first order hold).
Outputs |
Description |
output |
|
Parameters |
|
seed amplitude frequency |
random seed output scaling factor: does not influence the distribution frequency band of the noise |
This model generates a gaussian noise signal with gaussian distribution and variance 1 and random seed s. The noise is multiplied by the parameter amplitude.
output = amplitude*gauss(1,seed);
The noise signal is limited to a maximum frequency, which can be adjusted (parameter). Values in-between two noise samples are interpolated (first order hold).
Outputs |
Description |
output |
|
Parameters |
|
seed amplitude frequency |
random seed output scaling factor: does not influence the distribution frequency band of the noise |
This model generates a gaussian noise signal with gaussian distribution and variance 1 and random seed s. The noise is multiplied by the parameter amplitude.
output = amplitude*gauss(1,seed);
The noise signal has no frequency limitation.
It is advised only to use this implementation with fixed step integration methods such as Euler and Runge Kutta 2/4. If you run this implementation with a variable step integration method, simulations may get very slow!
Outputs |
Description |
output |
|
Parameters |
|
seed amplitude |
random seed output scaling factor: does not influence the distribution |
seed must be a number in the region <0,65000>.