LabWindows/CVI

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BernoulliNoise

BernoulliNoise

Advanced Analysis Library Only

AnalysisLibErrType BernoulliNoise (ssize_t numberOfElements, double probability, int seed, int initialize, int bernoulliNoise[]);

Purpose

Generates an array containing a pseudorandom pattern of ones and zeros. LabWindows/CVI computes each element of bernoulliNoise as if flipping a coin weighted by probability. The following equation defines the probability density function of the bernoulliNoise:

P(X = i) = pi(1 – p)1 – i     (i = 0, 1)

where p is the probability. If probability is 0.7, each element of bernoulliNoise has a 70% chance of being one and a 30% chance of being zero. Bernoulli noise is a special case of Binomial noise.

The following equations define the mean value, µ, and the standard deviation value, σ, of the pseudorandom sequence:

µ = E{x} = p

Example Code

/* The following code generates an array of Bernoulli-distributed pseudorandom numbers. */
int x[20];
double oneprob;
int n;
n = 20;
oneprob = 0.8;
BernoulliNoise (n, oneprob, 17, TRUE, x);

Parameters

Input
Name Type Description
numberOfElements ssize_t The number of elements to generate in the Bernoulli-distributed pseudorandom pattern.
probability double The probability of a given element of bernoulliNoise being true (1).

probability must be must be in the range [0, 1].

seed int The seed value used to generate the random number when initialize is a nonzero value.

If initialize is a nonzero value, BernoulliNoise uses seed as follows:

  • When seed ≥ 0, BernoulliNoise generates a new random sequence using the seed value you specify.
  • When seed < 0, BernoulliNoise uses a random number to generate the internal seed state.
If initialize is 0, BernoulliNoise ignores seed and generates the sequence as a continuation of the previously generated noise sequence.
initialize int Specifies whether to reseed the noise generator. Specify a nonzero value or select Yes in the function panel to initialize the internal seed state according to the value of seed. Specify 0 or select No in the function panel to resume producing noise samples as a continuation of the previously generated noise sequence.
Output
Name Type Description
bernoulliNoise int [] The output array containing the generated Bernoulli-distributed pseudorandom pattern.

Return Value

Name Type Description
status AnalysisLibErrType A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants.

Additional Information

Library: Advanced Analysis Library

Include file: analysis.h

LabWindows/CVI compatibility: LabWindows/CVI 2012 and later

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