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With these functions we can generate a impulsively distributed random real vector of length N. The function algorithm uses the following PDF and CDF to build this vector:
PDF: f( x ) = c / ( b - a ) + ( 1 - c ) * d( x ), where d( x ) is the Dirac delta function.
and
CDF: F( x ) = c * ( x - a ) / ( b - a ) + ( 1 - c ) * u( x ), where u( x ) is the step function.
Cite As
Jefferson Osowsky (2026). Impulsively distributed random number generator (https://www.mathworks.com/matlabcentral/fileexchange/73336-impulsively-distributed-random-number-generator), MATLAB Central File Exchange. Retrieved .
Categories
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General Information
- Version 1.0.0 (7.48 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
|
