WSJT-X/lib/superfox/qpc/np_rnd.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;
}
}