Impulsively distributed random number generator

Versione 1.0.0 (7,48 KB) da Jefferson Osowsky
Set of functions used to create a 1-by-N random real vector with impulsive distribution.
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Aggiornato 12 nov 2019

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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.

Cita come

Jefferson Osowsky (2025). Impulsively distributed random number generator (https://it.mathworks.com/matlabcentral/fileexchange/73336-impulsively-distributed-random-number-generator), MATLAB Central File Exchange. Recuperato .

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Creato con R2019b
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Versione Pubblicato Note della release
1.0.0