| Philipp Le | fe80ceb | 2022-04-26 21:32:27 +0200 | [diff] [blame] | 1 | # SPDX-License-Identifier: MPL-2.0 |
| 2 | # Copyright (c) 2022 Philipp Le <philipp@philipple.de>. |
| 3 | # This Source Code Form is subject to the terms of the Mozilla Public |
| 4 | # License, v. 2.0. If a copy of the MPL was not distributed with this |
| 5 | # file, You can obtain one at https://mozilla.org/MPL/2.0/. |
| 6 | |
| 7 | from __future__ import annotations |
| 8 | |
| 9 | from tkinter import ttk, LEFT, BOTH |
| 10 | |
| 11 | import scipy.signal.windows |
| 12 | from pydantic import confloat, conint |
| 13 | from dcs.config import default_store, ConfigObject, ui_create, ConfigControlFrame |
| 14 | import numpy as np |
| 15 | from dcs.frames.base import BaseFrame, Window |
| 16 | from dcs.frames.groups import Ch03Group |
| 17 | from dcs.utils import swap_freq |
| 18 | from typing import List |
| 19 | from enum import Enum |
| 20 | |
| 21 | import matplotlib |
| 22 | matplotlib.use('TkAgg') |
| 23 | from matplotlib.figure import Figure |
| 24 | from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg |
| 25 | |
| 26 | |
| 27 | class ConfigCh03PsdFrame(ConfigControlFrame): |
| 28 | wdg_signal_rms: ttk.Label |
| 29 | wdg_noise_rms: ttk.Label |
| 30 | |
| 31 | |
| 32 | class DisplayMode(str, Enum): |
| 33 | Lin = 'linear' |
| 34 | Log = 'logarithmic' |
| 35 | |
| 36 | |
| 37 | @ui_create |
| 38 | class ConfigCh03Psd(ConfigObject): |
| 39 | _KEY = 'ch03_psd' |
| 40 | |
| 41 | amplitude_dBV: confloat(ge=-160.0, lt=40.0, multiple_of=0.1) = 5.0 |
| 42 | freq_mult: conint(ge=0, lt=32) = 16 |
| 43 | noise_dBV: confloat(ge=-160.0, le=40.0, multiple_of=0.1) = -10.0 |
| 44 | random_seed: conint(ge=0, lt=10000) = 1000 |
| 45 | |
| 46 | disp_mode: DisplayMode = DisplayMode.Log |
| 47 | |
| 48 | def make_config_widget(self, parent: ttk.Widget) -> ConfigControlFrame: |
| 49 | frm = ConfigCh03PsdFrame(parent, borderwidth=1, relief='raised') |
| 50 | |
| 51 | ttk.Label(frm, text='Signal Level:').grid(row=0, column=0) |
| 52 | w = self.ui_create_amplitude_dBV(frm) |
| 53 | w.grid(row=0, column=1) |
| 54 | frm.add_widget(w) |
| 55 | ttk.Label(frm, text='dBV').grid(row=0, column=2) |
| 56 | |
| 57 | ttk.Label(frm, text='Signal RMS:').grid(row=1, column=0) |
| 58 | frm.wdg_signal_rms = ttk.Label(frm, text='') |
| 59 | frm.wdg_signal_rms.grid(row=1, column=1) |
| 60 | ttk.Label(frm, text='V').grid(row=1, column=2) |
| 61 | |
| 62 | ttk.Label(frm, text='Frequency:').grid(row=2, column=0) |
| 63 | w = self.ui_create_freq_mult(frm) |
| 64 | w.grid(row=2, column=1) |
| 65 | frm.add_widget(w) |
| 66 | |
| 67 | ttk.Label(frm, text='Noise Level:').grid(row=3, column=0) |
| 68 | w = self.ui_create_noise_dBV(frm) |
| 69 | w.grid(row=3, column=1) |
| 70 | frm.add_widget(w) |
| 71 | ttk.Label(frm, text='dBV').grid(row=3, column=2) |
| 72 | |
| 73 | ttk.Label(frm, text='Noise RMS:').grid(row=4, column=0) |
| 74 | frm.wdg_noise_rms = ttk.Label(frm, text='') |
| 75 | frm.wdg_noise_rms.grid(row=4, column=1) |
| 76 | ttk.Label(frm, text='V').grid(row=4, column=2) |
| 77 | |
| 78 | ttk.Label(frm, text='Random Seed:').grid(row=5, column=0) |
| 79 | w = self.ui_create_random_seed(frm) |
| 80 | w.grid(row=5, column=1) |
| 81 | frm.add_widget(w) |
| 82 | |
| 83 | ttk.Label(frm, text='Display Mode:').grid(row=6, column=0) |
| 84 | w = self.ui_create_disp_mode_dropdown(frm) |
| 85 | w.grid(row=6, column=1) |
| 86 | frm.add_widget(w) |
| 87 | |
| 88 | return frm |
| 89 | |
| 90 | def calc_signal_rms(self): |
| 91 | return np.power(10, (self.amplitude_dBV / 20)) |
| 92 | |
| 93 | def calc_noise_rms(self): |
| 94 | return np.power(10, (self.noise_dBV / 20)) |
| 95 | |
| 96 | def _calc_noise_sigma(self): |
| 97 | return np.sqrt(2) * self.calc_noise_rms() |
| 98 | |
| 99 | def calc_signal(self, t: np.ndarray) -> np.ndarray: |
| 100 | phi = np.sqrt(2) * self.calc_signal_rms() * np.exp(1j * 2 * np.pi * (self.freq_mult) * t) |
| 101 | return np.real(phi) + np.random.normal(0, self._calc_noise_sigma(), len(t)) |
| 102 | |
| 103 | |
| 104 | class Ch03PsdFrame(BaseFrame): |
| 105 | def __init__(self, *args, **kwargs): |
| 106 | super().__init__(*args, **kwargs) |
| 107 | |
| 108 | self._config: ConfigCh03Psd = default_store().get_config(ConfigCh03Psd) |
| 109 | |
| 110 | self.ctrl_frm = self._create_control() |
| 111 | self.ctrl_frm.pack(side=LEFT) |
| 112 | |
| 113 | signal_frm = self._create_signal_canvas() |
| 114 | signal_frm.pack(expand=True, fill=BOTH) |
| 115 | |
| 116 | def _create_control(self) -> ConfigCh03PsdFrame: |
| 117 | frm: ConfigCh03PsdFrame = self._config.make_config_widget(self) |
| 118 | frm.widgets_on_change(self._on_change) |
| 119 | return frm |
| 120 | |
| 121 | def _on_change(self, _, __, ___): |
| 122 | default_store().save() |
| 123 | |
| 124 | self.draw_signal() |
| 125 | |
| 126 | def _create_signal_canvas(self) -> ttk.Widget: |
| 127 | frm = ttk.Frame(self) |
| 128 | |
| 129 | self._signal_fig = Figure(figsize=(12, 6), dpi=100) |
| 130 | |
| 131 | self._signal_canvas = FigureCanvasTkAgg(self._signal_fig, frm) |
| 132 | self._signal_canvas.get_tk_widget().pack(expand=True, fill=BOTH) |
| 133 | |
| 134 | self.draw_signal() |
| 135 | |
| 136 | return frm |
| 137 | |
| 138 | def draw_signal(self): |
| 139 | LENGTH = 512 |
| 140 | |
| 141 | self.ctrl_frm.wdg_signal_rms.configure(text=f'{self._config.calc_signal_rms()}') |
| 142 | self.ctrl_frm.wdg_noise_rms.configure(text=f'{self._config.calc_noise_rms()}') |
| 143 | |
| 144 | np.random.seed(self._config.random_seed) |
| 145 | |
| 146 | self._signal_fig.clear() |
| 147 | |
| 148 | ax_signal = self._signal_fig.add_subplot(2, 1, 1) |
| 149 | ax_psd = self._signal_fig.add_subplot(2, 1, 2) |
| 150 | |
| 151 | ax_signal.set_xlim(-1.2, 1.2) |
| 152 | ax_signal.set_xlabel('time') |
| 153 | ax_signal.set_ylabel('value') |
| 154 | ax_signal.set_title('Signal') |
| 155 | |
| 156 | #ax_psd.set_xlim(0, 512) |
| 157 | ax_psd.set_xlabel('frequency') |
| 158 | ax_psd.set_ylabel('power density') |
| 159 | ax_psd.set_title('Power Spectral Density') |
| 160 | |
| 161 | # t = np.linspace(-1.0, 1.0, LENGTH) |
| 162 | t = np.arange(-256, 256, 1) / 256.0 |
| 163 | # f = np.arange(-int(LENGTH/2), int(LENGTH/2), 1) |
| 164 | f = swap_freq(np.fft.fftfreq(t.shape[-1], 2.0/LENGTH)) |
| 165 | |
| 166 | sig = self._config.calc_signal(t) |
| 167 | ax_signal.plot(t, sig, label='Signal', linestyle='solid', linewidth=1) |
| 168 | ax_signal.legend() |
| 169 | |
| 170 | #psd = np.abs(np.fft.fft(np.correlate(sig, sig, mode='same'))) |
| 171 | #psd = np.abs(self._swap(np.fft.fft(sig * scipy.signal.windows.hamming(len(sig))))) |
| 172 | |
| 173 | windowed = sig # * scipy.signal.windows.hamming(len(sig)) |
| 174 | fftransformed = swap_freq(np.fft.fft(windowed)) / len(sig) |
| 175 | psd = np.abs(fftransformed) |
| 176 | if self._config.disp_mode == DisplayMode.Log: |
| 177 | psd = 20 * np.log10(psd) |
| 178 | ax_psd.set_ylabel('power density (dbV^2)') |
| 179 | else: |
| 180 | ax_psd.set_ylabel('power density (V^2)') |
| 181 | ax_psd.plot(f, psd, label='PSD', linestyle='solid', linewidth=1) |
| 182 | ax_psd.legend() |
| 183 | |
| 184 | self._signal_canvas.draw() |
| 185 | |
| 186 | |
| 187 | class Ch03PsdWindow(Window): |
| 188 | GROUP = Ch03Group |
| 189 | TITLE = 'Power Spectral Density' |
| 190 | FRAME = Ch03PsdFrame |
| 191 | |
| 192 | |
| 193 | if __name__ == '__main__': |
| 194 | Ch03PsdWindow.main() |
| 195 | |