97 lines
2.1 KiB
C++
97 lines
2.1 KiB
C++
#pragma once
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#ifndef utils_h
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#define utils_h
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#include <Eigen/Dense>
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#include <iostream>
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#define DEBUG 0
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#define INF 1e9
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#define CHANNEL_NUMBER 4096
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using namespace std;
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using std::string;
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using std::to_string;
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double dataMax(std::vector<double> data) {
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double x, m = -INF;
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for (int i = 0; i < data.size(); i++) {
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x = data.at(i);
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m = std::max(m, x);
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}
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return m;
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}
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double dataAvg(std::vector<double> data) {
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double m = 0;
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for (int i = 0; i < data.size(); i++) m += data.at(i);
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return m / data.size();
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}
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double dataStd(std::vector<double> data) {
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double m = 0;
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double mu = dataAvg(data);
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for (int i = 0; i < data.size(); i++) m += std::pow(data.at(i) - mu, 2);
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return m / (data.size() - 1);
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}
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double dataMax2D(std::vector<Eigen::Vector2d> data) {
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double m = -INF;
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for (int i = 0; i < data.size(); i++) {
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Eigen::Vector2d &point = data.at(i);
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m = std::max(m, point(1));
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}
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return m;
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}
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double dataAvg2D(std::vector<Eigen::Vector2d> data) {
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int n = 0;
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double m = 0;
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for (int i = 0; i < data.size(); i++) {
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Eigen::Vector2d &point = data.at(i);
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n += point(1);
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m += point(0) * point(1);
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}
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return m / n;
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}
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double dataStd2D(std::vector<Eigen::Vector2d> data) {
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int n = 0;
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double m = 0;
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double mu = dataAvg2D(data);
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for (int i = 0; i < data.size(); i++) {
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Eigen::Vector2d &point = data.at(i);
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n += point(1);
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m += std::pow(point(0) - mu, 2) * point(1);
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}
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return std::sqrt(m / (n - 1));
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}
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double dataMax2DInd(std::vector<Eigen::Vector2d> data) {
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double x = 0, m = -INF;
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for (int i = 0; i < data.size(); i++) {
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Eigen::Vector2d &point = data.at(i);
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if (point(1) > m) {
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x = point(0);
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m = point(1);
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}
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}
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return x;
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}
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double dataStd2DSQRT(std::vector<Eigen::Vector2d> data) { return std::sqrt(dataMax2D(data)); }
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string rmString(string str, string substr) {
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int pos;
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int len = substr.length();
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while (true) {
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pos = str.find(substr);
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if (pos < 0) break;
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str.erase(pos, len);
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}
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return str;
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}
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#endif
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