blob: 48ce4eee5d1cb672a94a8e437f2459b1a69f573b [file] [log] [blame]
Philipp Lef7d1d452022-05-01 21:46:58 +02001# 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
7from __future__ import annotations
8
9from tkinter import ttk, Listbox, LEFT, BOTH
10from pydantic import confloat
11from dcs.config import default_store, ConfigObject, ui_create, ConfigControlFrame
12import numpy as np
13import scipy.signal.windows
14from dcs.frames.base import BaseFrame, Window
15from dcs.frames.groups import Ch04Group
16from dcs.utils import swap_freq, abs_log_fft
17from typing import List
18from enum import Enum
19
20import matplotlib
21matplotlib.use('TkAgg')
22from matplotlib.figure import Figure
23from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
24
25
26LENGTH = 256
27WINDOW_OVERSAMPLING = 64
28
29
30@ui_create
31class Function(ConfigObject):
32 freq: confloat(ge=0.0, lt=128.0, multiple_of=0.01) = 1.0
33 amplitude: confloat(ge=-100.0, lt=10.0, multiple_of=0.01) = 0.0
34 phase: confloat(ge=-180.0, le=180.0, multiple_of=0.1) = 0.0
35
36 def make_config_widget(self, parent: ttk.Widget) -> ConfigControlFrame:
37 frm = ConfigControlFrame(parent, borderwidth=1, relief='raised')
38
39 ttk.Label(frm, text='Frequency:').grid(row=0, column=0)
40 self.ui_create_freq(frm).grid(row=0, column=1)
41 ttk.Label(frm, text=f'x sampling frequency / {LENGTH}').grid(row=0, column=2)
42
43 ttk.Label(frm, text='Amplitude:').grid(row=1, column=0)
44 self.ui_create_amplitude(frm).grid(row=1, column=1)
45 ttk.Label(frm, text='dB').grid(row=1, column=2)
46
47 ttk.Label(frm, text='Phase:').grid(row=2, column=0)
48 self.ui_create_phase(frm).grid(row=2, column=1)
49 ttk.Label(frm, text='°').grid(row=2, column=2)
50
51 return frm
52
53 def get_lin_amplitude(self) -> np.ndarray:
54 return np.power(10, (self.amplitude / 20))
55
56 def calc_signal(self, t: np.ndarray = 0) -> np.ndarray:
57 phasor = self.get_lin_amplitude() * np.exp(1j * self.phase * np.pi / 180)
58 phi = np.exp(1j * 2 * np.pi * self.freq * t)
59 return np.real(phasor * phi)
60
61 def make_title(self):
62 return f'f={self.freq}, A={self.get_lin_amplitude()}={self.amplitude}dB'
63
64
65class WindowFunc(str, Enum):
66 Rectangular = 'Rectangular'
67 Hamming = 'Hamming'
68 Blackman = 'Blackman'
69 Bartlett = 'Bartlett'
70 Hann = 'Hann'
71 Gaussian_025 = 'Gaussian (sigma = 0.25)'
72 Gaussian_0125 = 'Gaussian (sigma = 0.125)'
73 Gaussian_00625 = 'Gaussian (sigma = 0.0625)'
74
75
76class ConfigCh04WindowFrame(ConfigControlFrame):
77 wdg_funcs: Listbox
78 wdg_window: ttk.OptionMenu
79 wgd_win_sampling_delay: ttk.Spinbox
80
81
82@ui_create
83class ConfigCh04Window(ConfigObject):
84 _KEY = 'ch04_window'
85
86 functions: List[Function] = [
87 Function(),
88 ]
89 window: WindowFunc = WindowFunc.Rectangular
90 win_sampling_delay: confloat(ge=0.0, lt=1.0, multiple_of=0.01) = 0.25
91
92 def make_config_widget(self, parent: ttk.Widget) -> ConfigControlFrame:
93 frm = ConfigCh04WindowFrame(parent, borderwidth=1, relief='raised')
94
95 frm1 = ttk.Frame(frm)
96 frm1.pack()
97
98 ttk.Label(frm1, text='Window:').grid(row=0, column=0)
99 frm.wdg_window = self.ui_create_window_dropdown(frm1)
100 frm.wdg_window.grid(row=0, column=1)
101
102 ttk.Label(frm1, text='Window Sampling Delay:').grid(row=1, column=0)
103 frm.wgd_win_sampling_delay = self.ui_create_win_sampling_delay(frm1)
104 frm.wgd_win_sampling_delay.grid(row=1, column=1)
105 ttk.Label(frm1, text='x 360°').grid(row=1, column=2)
106
107 ttk.Label(frm, text='Functions:').pack()
108 frm.wdg_funcs = self.ui_create_functions_list(frm, lambda e: e.make_title())
109 frm.wdg_funcs.pack()
110
111 return frm
112
113
114class Ch04WindowFrame(BaseFrame):
115 def __init__(self, *args, **kwargs):
116 super().__init__(*args, **kwargs)
117
118 self._config: ConfigCh04Window = default_store().get_config(ConfigCh04Window)
119
120 ctrl_frm = self._create_control()
121 ctrl_frm.pack(side=LEFT)
122
123 signal_frm = self._create_signal_canvas()
124 signal_frm.pack(expand=True, fill=BOTH)
125
126 def _create_control(self) -> ConfigCh04Window:
127 frm: ConfigCh04Window = self._config.make_config_widget(self)
128 frm.wdg_funcs.listen_change(self._on_change)
129 frm.wdg_window.listen_change(self._on_change)
130 frm.wgd_win_sampling_delay.listen_change(self._on_change)
131 return frm
132
133 def _on_change(self, _, __, ___):
134 default_store().save()
135 self.draw_signal()
136
137 def _create_signal_canvas(self) -> ttk.Widget:
138 frm = ttk.Frame(self)
139
140 self._signal_fig = Figure(figsize=(12, 6), dpi=100)
141
142 self._signal_canvas = FigureCanvasTkAgg(self._signal_fig, frm)
143 self._signal_canvas.get_tk_widget().pack(expand=True, fill=BOTH)
144
145 self.draw_signal()
146
147 return frm
148
149 def draw_signal(self):
150 self._signal_fig.clear()
151 ax_sig_td = self._signal_fig.add_subplot(2, 2, 1)
152 ax_sig_td.set_xlim(-0.2, 1.2)
153 ax_sig_td.set_xlabel('time')
154 ax_sig_td.set_ylabel('value')
155 ax_sig_td.set_title('Sampled Time-Domain Signal')
156 ax_win_td = self._signal_fig.add_subplot(2, 2, 2)
157 ax_win_td.set_xlim(-0.2, 1.2)
158 ax_win_td.set_ylim(-0.2, 1.2)
159 ax_win_td.set_xlabel('time')
160 ax_win_td.set_ylabel('value')
161 ax_win_td.set_title('Window Time-Domain')
162 ax_sig_fd = self._signal_fig.add_subplot(2, 2, 3)
163 ax_sig_fd.set_xlim(-int(LENGTH/4) - 1, int(LENGTH/4) + 1)
164 ax_sig_fd.set_ylim(-120.0, 23.0)
165 ax_sig_fd.set_xlabel('frequency')
166 ax_sig_fd.set_ylabel('value (logarithmic)')
167 ax_sig_fd.set_title('Frequency-Domain of Windowed Signal')
168 ax_win_fd = self._signal_fig.add_subplot(2, 2, 4)
169 ax_win_fd.set_xlim(-int(LENGTH/4) - 1, int(LENGTH/4) + 1)
170 ax_win_fd.set_ylim(-180.0, 0.0)
171 ax_win_fd.set_xlabel('frequency')
172 ax_win_fd.set_ylabel('value (logarithmic)')
173 ax_win_fd.set_title('Window Frequency-Domain')
174
175 t = np.arange(0, LENGTH, 1) / LENGTH
176 f = swap_freq(np.fft.fftfreq(t.shape[-1], 1.0/LENGTH))
177 t_ovs = np.arange(0, LENGTH, (1/WINDOW_OVERSAMPLING)) / LENGTH
178 f_win_ovs = swap_freq(np.fft.fftfreq(t_ovs.shape[-1], 1.0/LENGTH))
179 f_sig_ovs = swap_freq(np.fft.fftfreq(t_ovs.shape[-1], 1.0/(LENGTH * WINDOW_OVERSAMPLING)))
180
181 x = np.zeros((len(self._config.functions), len(t)))
182 x_ovs = np.zeros((len(self._config.functions), len(t_ovs)))
183
184 for index, func in enumerate(self._config.functions):
185 x[index, :] = func.calc_signal(t)
186 x_ovs[index, :] = func.calc_signal(t_ovs)
187 func = np.sum(x, axis=0)
188 func_ovs = np.sum(x_ovs, axis=0)
189
190 func_ovs_fft = abs_log_fft(func_ovs)
191
192 if self._config.window == WindowFunc.Rectangular:
193 win = np.ones((len(t),))
194 elif self._config.window == WindowFunc.Hamming:
195 win = scipy.signal.windows.hamming(len(t))
196 elif self._config.window == WindowFunc.Blackman:
197 win = scipy.signal.windows.blackman(len(t))
198 elif self._config.window == WindowFunc.Bartlett:
199 win = scipy.signal.windows.bartlett(len(t))
200 elif self._config.window == WindowFunc.Hann:
201 win = scipy.signal.windows.hann(len(t))
202 elif self._config.window == WindowFunc.Gaussian_025:
203 win = scipy.signal.windows.gaussian(len(t), len(t)/4)
204 elif self._config.window == WindowFunc.Gaussian_0125:
205 win = scipy.signal.windows.gaussian(len(t), len(t)/8)
206 elif self._config.window == WindowFunc.Gaussian_00625:
207 win = scipy.signal.windows.gaussian(len(t), len(t)/16)
208 else:
209 raise Exception(f'Unsupported window')
210
211 func_windowed = func * win
212
213 win_ovs = np.zeros((LENGTH * WINDOW_OVERSAMPLING, ))
214 start_idx = int(LENGTH * WINDOW_OVERSAMPLING / 2) - int(LENGTH / 2)
215 for idx in range(len(t)):
216 win_ovs[start_idx + idx] = win[idx] * WINDOW_OVERSAMPLING
217 # win_ovs[idx * WINDOW_OVERSAMPLING] = win[idx]
218
219 # win_fft = 20 * np.log10(np.abs(self._swap(np.fft.fft(win))) / len(win))
220 win_ovs_fft = abs_log_fft(win_ovs)
221 win_fft = np.zeros((len(win), ))
222 win_180_fft = np.zeros((len(win), ))
223 win_tau_fft = np.zeros((len(win), ))
224 win_idx_delay = int(self._config.win_sampling_delay * WINDOW_OVERSAMPLING)
225 win_phase_delay = np.round(360.0 * win_idx_delay / WINDOW_OVERSAMPLING)
226 win_frac_delay = np.round(10000.0 * win_idx_delay / WINDOW_OVERSAMPLING) / 10000.0
227 for idx in range(len(win)):
228 win_fft[idx] = win_ovs_fft[idx * WINDOW_OVERSAMPLING]
229 win_180_fft[idx] = win_ovs_fft[idx * WINDOW_OVERSAMPLING + int(WINDOW_OVERSAMPLING/2)]
230 win_tau_fft[idx] = win_ovs_fft[idx * WINDOW_OVERSAMPLING + win_idx_delay]
231
232 func_windowed_fft = abs_log_fft(func_windowed)
233
234 ax_sig_td.plot(t, func, label='Time-Domain', linestyle='solid', linewidth=1)
235 ax_sig_fd.plot(f, func_windowed_fft, label='Frequency-Domain Windows', linestyle='solid', linewidth=1)
236 ax_win_td.plot(t, win, label='Time-Domain', linestyle='solid', linewidth=1)
237 ax_win_fd.plot(f_win_ovs, win_ovs_fft, label='Window', linestyle='solid', linewidth=1)
238 ax_win_fd.plot(f, win_fft, label='Window Sampled', linestyle='dashed', linewidth=1)
239 ax_win_fd.plot(f, win_180_fft, label='Window Sampled (180° shift)', linestyle='dashed', linewidth=1)
240 ax_win_fd.plot(f, win_tau_fft, label=f'Window Sampled ({win_frac_delay} x 360° = {win_phase_delay}° shift)', linestyle='dashed', linewidth=1)
241 ax_win_fd.legend()
242
243 self._signal_canvas.draw()
244
245
246class Ch04WindowWindow(Window):
247 GROUP = Ch04Group
248 TITLE = 'Windowing'
249 FRAME = Ch04WindowFrame
250
251
252if __name__ == '__main__':
253 Ch04WindowWindow.main()
254