Source code for NanoVNASaver.Analysis.PeakSearchAnalysis

#  NanoVNASaver
#
#  A python program to view and export Touchstone data from a NanoVNA
#  Copyright (C) 2019, 2020  Rune B. Broberg
#  Copyright (C) 2020,2021 NanoVNA-Saver Authors
#
#  This program 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 program 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 program.  If not, see <https://www.gnu.org/licenses/>.
import logging

from PyQt6 import QtWidgets
import numpy as np

# pylint: disable=import-error, no-name-in-module
from scipy.signal import find_peaks, peak_prominences

from NanoVNASaver.Analysis.Base import QHLine
from NanoVNASaver.Analysis.SimplePeakSearchAnalysis import (
    SimplePeakSearchAnalysis,
)

from NanoVNASaver.Formatting import format_frequency_short


logger = logging.getLogger(__name__)


[docs]class PeakSearchAnalysis(SimplePeakSearchAnalysis): def __init__(self, app): super().__init__(app) self.peak_cnt = QtWidgets.QSpinBox() self.peak_cnt.setValue(1) self.peak_cnt.setMinimum(1) self.peak_cnt.setMaximum(10) self.layout.addRow("Max number of peaks", self.peak_cnt) self.layout.addRow(QHLine()) self.layout.addRow(QtWidgets.QLabel("<b>Results</b>")) self.results_header = self.layout.rowCount() self.set_titel("Peak search")
[docs] def runAnalysis(self): if not self.app.data.s11: return self.reset() s11 = self.app.data.s11 data, fmt_fnc = self.data_and_format() inverted = False if self.button["peak_l"].isChecked(): inverted = True peaks, _ = find_peaks( -np.array(data), width=3, distance=3, prominence=1 ) else: self.button["peak_h"].setChecked(True) peaks, _ = find_peaks(data, width=3, distance=3, prominence=1) # Having found the peaks, get the prominence data for i, p in np.ndenumerate(peaks): logger.debug("Peak %s at %s", i, p) prominences = peak_prominences(data, peaks)[0] logger.debug("%d prominences", len(prominences)) # Find the peaks with the most extreme values # Alternately, allow the user to select "most prominent"? count = self.peak_cnt.value() if count > len(prominences): count = len(prominences) self.peak_cnt.setValue(count) indices = np.argpartition(prominences, -count)[-count:] logger.debug("%d indices", len(indices)) for i in indices: pos = peaks[i] self.layout.addRow( f"Freq: {format_frequency_short(s11[pos].freq)}", QtWidgets.QLabel( f" Value: {fmt_fnc(-data[pos] if inverted else data[pos])}" ), ) if self.button["move_marker"].isChecked(): if count > len(self.app.markers): logger.warning("More peaks found than there are markers") for i in range(min(count, len(self.app.markers))): self.app.markers[i].setFrequency( str(s11[peaks[indices[i]]].freq) )
[docs] def reset(self): super().reset() logger.debug( "Results start at %d, out of %d", self.results_header, self.layout.rowCount(), ) for _ in range(self.results_header, self.layout.rowCount()): logger.debug("deleting %s", self.layout.rowCount()) self.layout.removeRow(self.layout.rowCount() - 1)