UniformNoisePropertiesDemonstrates the computation of properties for uniformally distributed noise |
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This information is part of the Modelica Standard Library maintained by the Modelica Association.
This example demonstrates statistical properties of the Blocks.Noise.UniformNoise block using a uniform random number distribution. Block "noise" defines a band of 0 .. 6 and from the generated noise the mean and the variance is computed with blocks of package Blocks.Math. Simulation results are shown in the next diagram:
The mean value of a uniform noise in the range 0 .. 6 is 3 and its variance is 3 as well. The simulation results above show good agreement (after a short initial phase). This demonstrates that the random number generator and the mapping to a uniform distribution have good statistical properties.
| y_min |
Value: 0 Type: Real Description: Minimum value of band |
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| y_max |
Value: 6 Type: Real Description: Maximum value of band |
| pMean |
Value: (y_min + y_max) / 2 Type: Real Description: Theoretical mean value of uniform distribution |
| var |
Value: (y_max - y_min) ^ 2 / 12 Type: Real Description: Theoretical variance of uniform distribution |
| std |
Value: sqrt(var) Type: Real Description: Theoretical standard deviation of uniform distribution |
| meanError_y |
Default Value: meanError.y Type: Real |
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| sigmaError_y |
Default Value: sigmaError.y Type: Real |
| globalSeed |
Type: GlobalSeed |
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| noise |
Type: UniformNoise |
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| mean |
Type: ContinuousMean |
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| variance |
Type: Variance |
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| theoreticalVariance |
Type: MultiProduct |
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| meanError |
Type: Feedback |
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| theoreticalMean |
Type: Constant |
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| varianceError |
Type: Feedback |
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| theoreticalSigma |
Type: Constant |
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| standardDeviation |
Type: StandardDeviation |
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| sigmaError |
Type: Feedback |