Files
libpasada/pasada-lib/ssf_filter.cpp

66 lines
2.0 KiB
C++

//
// Created by david on 03.03.2026.
//
#include "include/ssf_filter.h"
#include <limits>
#include <cmath>
#include <cassert>
static std::vector<double> make_ones(size_t sw) {
std::vector<double> ones;
ones.resize(sw);
ones.assign(sw, 1.0);
return ones;
}
SsfFilter::SsfFilter(size_t upslope_width) :
sw(upslope_width),
// Filt(N, shift, offset, taps)
f_delta_u(2, 0, 0, std::vector<double> {1.0, -1.0}),
f_window(upslope_width, 0, 0, make_ones(upslope_width))
{}
double SsfFilter::filter(double val) {
double du = f_delta_u.filter(val);
double duc = std::max(0.0, du);
double ssf = f_window.filter(duc);
return ssf;
}
SsfStepDetector::SsfStepDetector(size_t len_refr) :
LEN_INIT((size_t) (3.0 * FPS)), // initial window length for ssf_threshold
LEN_TH_WIN((size_t) (3.0 * FPS)), // subsequent window length for ssf_threshold
num_samples(0),
ssf_threshold(std::numeric_limits<double>::infinity()),
len_refr(len_refr), n_refr(0), is_refr(false),
nm1_ssf(0.0),
f_ssf_mean(LEN_TH_WIN, 0, 0, make_ones(LEN_TH_WIN))
{
assert (LEN_INIT >= LEN_TH_WIN && "LEN_INIT < LEN_TH_WIN, check normalization of initial ssf_threshold");
}
double SsfStepDetector::filter(double val) {
double ssf_mean = f_ssf_mean.filter(val) / ((double) LEN_TH_WIN);
double rv = 0.0;
if (num_samples >= LEN_INIT) {
// initial and subsequent threshold setting.
ssf_threshold = 3.0 * ssf_mean * 0.99; // see Zong 2003 for the magic numbers
}
// threshold crossing detection
bool is_txing = nm1_ssf < ssf_threshold && val >= ssf_threshold;
// refractory period reset
if (num_samples - n_refr >= len_refr) is_refr = false;
// transition and not in refractory period? detected a step.
if (is_txing && !is_refr) {
rv = 1.0;
is_refr = true;
n_refr = num_samples;
}
nm1_ssf = val;
num_samples++;
return rv;
}
double SsfStepDetector::peek_threshold() {
return ssf_threshold;
}