#include <math.h>
#include "noise.h"
Go to the source code of this file.
Functions |
| double | Random (void) |
| | Returns 1 with probability p or 0 with probability 1 - p. Use n > 0 and 0.0 < p < 1.0.
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| double | Exponential (double m) |
| | Returns an exponentially distributed positive real number. Use m > 0.0.
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| long | Poisson (double m) |
| | Returns a Poisson distributed non-negative integer. Use m > 0.0.
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| double | Normal (double m, double s) |
| | Returns a normal (Gaussian) distributed real number. Use m > 0.0 and s > 0.0.
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| double | mse (long *data1, long *data2, const size_t rows, const size_t cols) |
| | Computes and returns the Mean Squared Error of two arrays.
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Function Documentation
| double Exponential |
( |
double |
m |
) |
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Returns an exponentially distributed positive real number. Use m > 0.0.
Definition at line 24 of file noise.c.
| double mse |
( |
long * |
data1, |
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long * |
data2, |
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const size_t |
rows, |
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const size_t |
cols | |
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) |
| | |
Computes and returns the Mean Squared Error of two arrays.
Definition at line 82 of file noise.c.
| double Normal |
( |
double |
m, |
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double |
s | |
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) |
| | |
Returns a normal (Gaussian) distributed real number. Use m > 0.0 and s > 0.0.
Uses a very accurate approximation of the normal idf due to Odeh & Evans, J. Applied Statistics, 1974, vol 23, pp 96-97.
Definition at line 51 of file noise.c.
| long Poisson |
( |
double |
m |
) |
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Returns a Poisson distributed non-negative integer. Use m > 0.0.
Definition at line 34 of file noise.c.
Returns 1 with probability p or 0 with probability 1 - p. Use n > 0 and 0.0 < p < 1.0.
Definition at line 5 of file noise.c.
