mirror of
https://github.com/saitohirga/WSJT-X.git
synced 2025-05-29 21:02:26 -04:00
136 lines
4.1 KiB
C
136 lines
4.1 KiB
C
// ------------------------------------------------------------------------------
|
|
// np_rnd.c
|
|
// Functions to generate random numbers with uniform/gaussian probability distributions
|
|
//
|
|
// (c) 2024 - Nico Palermo, IV3NWV - Microtelecom Srl, Italy
|
|
// ------------------------------------------------------------------------------
|
|
//
|
|
// This source is free software: you can redistribute it and/or modify
|
|
// it under the terms of the GNU General Public License as published by
|
|
// the Free Software Foundation, either version 3 of the License, or
|
|
// (at your option) any later version.
|
|
// This file is distributed in the hope that it will be useful,
|
|
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
// GNU General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU General Public License
|
|
// along with this source distribution.
|
|
// If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
#include "np_rnd.h"
|
|
|
|
#if _WIN32 // note the underscore: without it, it's not msdn official!
|
|
// Windows (x64 and x86)
|
|
#include <windows.h> // required only for GetTickCount(...)
|
|
#define K_RAND_MAX UINT_MAX
|
|
#elif _SVID_SOURCE || _XOPEN_SOURCE || __unix__ || (defined (__APPLE__) && defined(__MACH__)) /* POSIX or Unix or Apple */
|
|
#include <stdlib.h>
|
|
#define rand_s(x) (*x)=(unsigned int)lrand48() // returns unsigned integers in the range 0..0x7FFFFFFF
|
|
#define K_RAND_MAX 0x7FFFFFFF // that's the max number
|
|
// generated by lrand48
|
|
#else
|
|
#error "No good quality PRNG found"
|
|
#endif
|
|
|
|
|
|
void np_normrnd_real(float *dst, int nitems, float mean, float stdev)
|
|
{
|
|
// for odd or even nitems
|
|
|
|
unsigned int r;
|
|
float phi=0, u=0;
|
|
int set = 0;
|
|
float scalephi = (M_2PI / (1.0f + K_RAND_MAX));
|
|
float scaleu = (1.0f / (1.0f + K_RAND_MAX));
|
|
|
|
|
|
while (nitems--)
|
|
if (set==1) {
|
|
// generate a second normally distributed number
|
|
*dst++ = sinf(phi)*u*stdev+mean;
|
|
set = 0;
|
|
}
|
|
else {
|
|
// generate a uniform distributed phase phi in the range [0,2*PI)
|
|
rand_s((unsigned int*)&r); phi = scalephi * r;
|
|
|
|
// generate a uniform distributed random number u in the range (0,1]
|
|
rand_s((unsigned int*)&r); u = scaleu * (1.0f + r);
|
|
|
|
// generate normally distributed number
|
|
u = (float)sqrt(-2.0f * log(u));
|
|
*dst++ = cosf(phi) * u * stdev + mean;
|
|
|
|
set=1;
|
|
}
|
|
}
|
|
|
|
void np_normrnd_cpx(float* dst, int nitems, float mean, float stdev)
|
|
{
|
|
// as qpc_normrnd_real, but generates always nitems complex numbers (2*nitems reals)
|
|
|
|
unsigned int r;
|
|
float phi = 0, u = 0;
|
|
// JHT int set = 0;
|
|
float scalephi = (M_2PI / (1.0f + K_RAND_MAX));
|
|
float scaleu = (1.0f / (1.0f + K_RAND_MAX));
|
|
|
|
while (nitems--) {
|
|
// generate a uniform distributed phase phi in the range [0,2*PI)
|
|
rand_s((unsigned int*)&r); phi = scalephi * r;
|
|
|
|
// generate a uniform distributed random number u in the range (0,1]
|
|
rand_s((unsigned int*)&r); u = scaleu * (1.0f + r);
|
|
|
|
// generate normally distributed real and imaginary parts
|
|
u = (float)sqrt(-2.0f * log(u));
|
|
*dst++ = cosf(phi) * u * stdev + mean;
|
|
*dst++ = sinf(phi) * u * stdev + mean;
|
|
}
|
|
}
|
|
|
|
void np_unidrnd(unsigned int* dst, int nitems, unsigned int nsetsize)
|
|
{
|
|
// generate uniform unsigned int random numbers in the range [0..nsetsize)
|
|
|
|
unsigned int r;
|
|
float u;
|
|
float scaleu = (1.0f / (1.0f + K_RAND_MAX));
|
|
|
|
while (nitems--) {
|
|
rand_s((unsigned int*)&r); u = scaleu * nsetsize * r;
|
|
*dst++ = (unsigned int)floorf(u);
|
|
}
|
|
|
|
}
|
|
void np_unidrnd_uc(unsigned char* dst, int nitems, unsigned char nsetsize)
|
|
{
|
|
// generate uniform unsigned char random numbers in the range [0..nsetsize)
|
|
|
|
unsigned int r;
|
|
float u;
|
|
float scaleu = (1.0f / (1.0f + K_RAND_MAX));
|
|
|
|
while (nitems--) {
|
|
rand_s((unsigned int*)&r); u = scaleu * nsetsize * r;
|
|
*dst++ = (unsigned char)floorf(u);
|
|
}
|
|
|
|
}
|
|
|
|
void np_unifrnd(float* dst, int nitems, float fmax)
|
|
{
|
|
// generate uniform float random numbers in the range [0..fmax)
|
|
|
|
unsigned int r;
|
|
float u;
|
|
float scaleu = (1.0f / (1.0f + K_RAND_MAX));
|
|
|
|
while (nitems--) {
|
|
rand_s((unsigned int*)&r); u = scaleu * fmax * r;
|
|
*dst++ = u;
|
|
}
|
|
|
|
}
|