Gaussian White Noise MapleSim Model - Gaussian White Noise S-Function - MapleSim Model Gallery

Gaussian White Noise

This model uses a C-code block to generate a random integer every time-step. It is then normalized to create a uniform white stochastic process. Using two of these uniform white processes, a Custom Component implements the Box-Muller method to generate two independent Gaussian white stochastic processes. Frequency filters can be used to make these band-limited.
This model includes a Maple worksheet for analysis.
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Model Images
  • model diagram Model diagram showing the uniform white noise subsystems and Box-Mueller custom component
  • results Simulation results showing the original white noise and the Gaussian white stochastic results
  • subsystem Subsystem diagram of the white noise subsystem, complete with external C code component
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