feat: Ch06 Up Sampling
Signed-off-by: Philipp Le <philipp@philipple.de>
Change-Id: I12494e53df57e4eb9ca11a1ebe8dfc3bbd3c4825
diff --git a/dcs/frames/__init__.py b/dcs/frames/__init__.py
index 754ba8e..a1a8023 100644
--- a/dcs/frames/__init__.py
+++ b/dcs/frames/__init__.py
@@ -21,6 +21,7 @@
from .ch06_filter import Ch06FilterWindow
from .ch06_mixer import Ch06MixerWindow
from .ch06_down_sampling import Ch06DownSamplingWindow
+from .ch06_up_sampling import Ch06UpSamplingWindow
def get_windows() -> List[Type[base.Window]]:
@@ -39,6 +40,7 @@
Ch06FilterWindow,
Ch06MixerWindow,
Ch06DownSamplingWindow,
+ Ch06UpSamplingWindow,
]
diff --git a/dcs/frames/ch06_up_sampling.py b/dcs/frames/ch06_up_sampling.py
new file mode 100644
index 0000000..ed2d937
--- /dev/null
+++ b/dcs/frames/ch06_up_sampling.py
@@ -0,0 +1,316 @@
+# SPDX-License-Identifier: MPL-2.0
+# Copyright (c) 2022 Philipp Le <philipp@philipple.de>.
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at https://mozilla.org/MPL/2.0/.
+
+from __future__ import annotations
+
+from tkinter import ttk, LEFT, BOTH, BOTTOM
+from pydantic import confloat, conint
+from dcs.config import default_store, ConfigObject, ui_create, ConfigControlFrame
+import numpy as np
+import scipy.signal
+from scipy.interpolate import make_interp_spline
+from dcs.frames.base import BaseFrame, Window
+from dcs.frames.groups import Ch06Group
+from dcs.utils import swap_freq, abs_log_fft
+from typing import List, Tuple
+
+import matplotlib
+matplotlib.use('TkAgg')
+from matplotlib.figure import Figure
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
+
+
+OVERSAMPLING_LEN = 512
+FFT_LEN = 2048
+
+
+@ui_create
+class Function(ConfigObject):
+ freq: confloat(ge=0, lt=OVERSAMPLING_LEN/2, multiple_of=(4.0/OVERSAMPLING_LEN)) = 1.0
+ amplitude: confloat(ge=0.0, lt=10.0, multiple_of=0.01) = 5.0
+ phase: confloat(ge=-180.0, le=180.0, multiple_of=0.1) = 0.0
+ offset: confloat(ge=-5.0, lt=5.0, multiple_of=0.01) = 0.0
+
+ def make_config_widget(self, parent: ttk.Widget) -> ConfigControlFrame:
+ frm = ConfigControlFrame(parent)
+
+ ttk.Label(frm, text='Frequency:').grid(row=0, column=0)
+ w = self.ui_create_freq(frm)
+ frm.add_widget(w)
+ w.grid(row=0, column=1)
+
+ ttk.Label(frm, text='Amplitude:').grid(row=1, column=0)
+ w = self.ui_create_amplitude(frm)
+ frm.add_widget(w)
+ w.grid(row=1, column=1)
+
+ ttk.Label(frm, text='Phase:').grid(row=2, column=0)
+ w = self.ui_create_phase(frm)
+ frm.add_widget(w)
+ w.grid(row=2, column=1)
+ ttk.Label(frm, text='°').grid(row=2, column=2)
+
+ ttk.Label(frm, text='Offset:').grid(row=3, column=0)
+ w = self.ui_create_offset(frm)
+ frm.add_widget(w)
+ w.grid(row=3, column=1)
+
+ return frm
+
+ def calc_signal(self, t: np.ndarray) -> np.ndarray:
+ phasor = self.amplitude * np.exp(1j * self.phase * np.pi / 180)
+ phi = np.exp(1j * 2 * np.pi * self.freq * t)
+ return np.real(self.offset + (phasor * phi))
+
+ def make_title(self):
+ return f'f={self.freq}, {self.amplitude}, {self.phase}°'
+
+
+@ui_create
+class ConfigCh06UpSampling(ConfigObject):
+ _KEY = 'ch06_up_sampling'
+
+ input_funcs: List[Function] = [
+ Function(freq=1.0, amplitude_dB=0.0, phase=0.0),
+ Function(freq=1.5, amplitude_dB=0.0, phase=90.0),
+ ]
+ sample_rate: confloat(ge=0, lt=OVERSAMPLING_LEN/2, multiple_of=(4.0/OVERSAMPLING_LEN)) = 16.0
+ interpolation: conint(ge=0, lt=64) = 4
+ lp_cutoff_freq: confloat(ge=0, lt=OVERSAMPLING_LEN/2, multiple_of=(4.0/OVERSAMPLING_LEN)) = 4.0
+
+ def make_config_widget(self, parent: ttk.Widget) -> ConfigControlFrame:
+ frm = ConfigControlFrame(parent, borderwidth=1, relief='raised')
+
+ ttk.Label(frm, text='Input Functions:').pack()
+ w = self.ui_create_input_funcs_list(frm, lambda e: e.make_title())
+ frm.add_widget(w)
+ w.pack()
+
+ frm1 = ttk.Frame(frm, borderwidth=1, relief='raised')
+ frm1.pack()
+
+ ttk.Label(frm1, text='Sample Rate:').grid(row=0, column=0)
+ w = self.ui_create_sample_rate(frm1)
+ frm.add_widget(w)
+ w.grid(row=0, column=1)
+
+ ttk.Label(frm1, text='Interpolation Factor:').grid(row=1, column=0)
+ w = self.ui_create_interpolation(frm1)
+ frm.add_widget(w)
+ w.grid(row=1, column=1)
+
+ ttk.Label(frm1, text='Interpolation Low Pass Cut-off:').grid(row=2, column=0)
+ ttk.Label(frm1, text='(0 = disable):').grid(row=3, column=1)
+ w = self.ui_create_lp_cutoff_freq(frm1)
+ frm.add_widget(w)
+ w.grid(row=2, column=1)
+
+ return frm
+
+ def have_filter(self) -> bool:
+ return not (self.lp_cutoff_freq == 0)
+
+ def calc_input_signal(self, t: np.ndarray) -> np.ndarray:
+ x = np.zeros((len(self.input_funcs), len(t)), dtype=np.float64)
+ for index, func in enumerate(self.input_funcs):
+ x[index, :] = func.calc_signal(t)
+ return np.sum(x, axis=0)
+
+ def calc_zerofilled_signal(self, t: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
+ slope = (np.max(t) - np.min(t)) / (len(t) - 1)
+ n_start = np.min(t) / slope
+ n_up = len(t) * self.interpolation
+ t_up = np.arange(n_start, n_start + n_up, 1) * slope / self.interpolation
+ sig = np.zeros((n_up,))
+ for idx, val in enumerate(self.calc_input_signal(t)):
+ sig[idx * self.interpolation] = val
+ return t_up, sig
+
+ def calc_filtered_signal(self, t: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
+ t_up, zero_filled = self.calc_zerofilled_signal(t)
+
+ if self.have_filter():
+ b, a = scipy.signal.cheby1(N=5, Wn=self.lp_cutoff_freq, rp=1, btype='low', fs=self.sample_rate * self.interpolation)
+ zi = scipy.signal.lfilter_zi(b, a)
+ z, _ = scipy.signal.lfilter(b, a, zero_filled, zi=zi*zero_filled[0])
+ return t_up, z
+ else:
+ return t_up, zero_filled
+
+
+class Ch06UpSamplingFrame(BaseFrame):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+ self._config: ConfigCh06UpSampling = default_store().get_config(ConfigCh06UpSampling)
+
+ ctrl_frm = self._create_control()
+ ctrl_frm.pack(side=LEFT)
+
+ signal_frm = self._create_signal_tabs()
+ signal_frm.pack(expand=True, fill=BOTH)
+
+ def _create_control(self) -> ConfigControlFrame:
+ frm = self._config.make_config_widget(self)
+ frm.widgets_on_change(self._on_change)
+ return frm
+
+ def _on_change(self, _, __, ___):
+ default_store().save()
+ self.draw_td()
+ self.draw_fd()
+
+ def _create_signal_tabs(self) -> ttk.Widget:
+ tabs = ttk.Notebook(self)
+
+ td_frm = ttk.Frame(tabs)
+ tabs.add(td_frm, text='Time Domain')
+ self._td_fig = Figure(figsize=(12, 6), dpi=100)
+ self._td_canvas = FigureCanvasTkAgg(self._td_fig, td_frm)
+ self._td_canvas.get_tk_widget().pack(expand=True, fill=BOTH)
+ td_tb = NavigationToolbar2Tk(self._td_canvas, td_frm, pack_toolbar=False)
+ td_tb.pack(side=BOTTOM)
+
+ fd_frm = ttk.Frame(tabs)
+ tabs.add(fd_frm, text='Frequency Domain')
+ self._fd_fig = Figure(figsize=(12, 6), dpi=100)
+ self._fd_canvas = FigureCanvasTkAgg(self._fd_fig, fd_frm)
+ self._fd_canvas.get_tk_widget().pack(expand=True, fill=BOTH)
+ fd_tb = NavigationToolbar2Tk(self._fd_canvas, fd_frm, pack_toolbar=False)
+ fd_tb.pack(side=BOTTOM)
+
+ self.draw_td()
+ self.draw_fd()
+
+ return tabs
+
+ def draw_td(self):
+ self._td_fig.clear()
+
+ if self._config.have_filter():
+ ax_inp = self._td_fig.add_subplot(3, 1, 1)
+ ax_zer = self._td_fig.add_subplot(3, 1, 2)
+ ax_int = self._td_fig.add_subplot(3, 1, 3)
+ else:
+ ax_inp = self._td_fig.add_subplot(2, 1, 1)
+ ax_zer = self._td_fig.add_subplot(2, 1, 2)
+ ax_inp.set_xlim(0.0, 1.1)
+ ax_inp.set_xlabel('time')
+ ax_inp.set_ylabel('value')
+ ax_inp.set_title('Input Signal')
+ ax_zer.set_xlim(0.0, 1.1)
+ ax_zer.set_xlabel('time')
+ ax_zer.set_ylabel('value')
+ ax_zer.set_title('Zero-Filled Filter')
+ if self._config.have_filter():
+ ax_int.set_xlim(0.0, 1.1)
+ ax_int.set_xlabel('time')
+ ax_int.set_ylabel('value')
+ ax_int.set_title('Interpolated Signal')
+
+ t = np.arange(0, 1.1, 1.0/self._config.sample_rate)
+ if len(t) > 3:
+ t_interp = np.linspace(np.min(t), np.max(t), OVERSAMPLING_LEN)
+ else:
+ t_interp = np.zeros((0,))
+
+ x_inp = self._config.calc_input_signal(t)
+ if len(t) > 3:
+ fn_inp_interp = make_interp_spline(t, x_inp)
+ x_inp_interp = fn_inp_interp(t_interp)
+ else:
+ x_inp_interp = np.zeros((0,))
+
+ t_zer, x_zer = self._config.calc_zerofilled_signal(t)
+ if len(t) > 3:
+ fn_zer_interp = make_interp_spline(t_zer, x_zer)
+ x_zer_interp = fn_zer_interp(t_interp)
+ else:
+ x_zer_interp = np.zeros((0,))
+
+ if self._config.have_filter():
+ t_int, x_int = self._config.calc_filtered_signal(t)
+ if len(t) > 3:
+ fn_int_interp = make_interp_spline(t_int, x_int)
+ x_int_interp = fn_int_interp(t_interp)
+ else:
+ x_int_interp = np.zeros((0,))
+
+ ax_inp.plot(t, x_inp, label='Input Signal (Sampled)', marker='x', linestyle='none', color='blue', linewidth=1)
+ ax_inp.plot(t_interp, x_inp_interp, label='Input Signal (Interpolated)', linestyle='dashed', color='blue', linewidth=1)
+ ax_inp.legend()
+
+ ax_zer.plot(t, x_inp, label='Input Signal (Sampled)', marker='o', linestyle='none', color='blue', linewidth=1)
+ ax_zer.plot(t_zer, x_zer, label='Zero-Filled Signal (Sampled)', marker='x', linestyle='none', color='green', linewidth=1)
+ ax_zer.plot(t_interp, x_zer_interp, label='Zero-Filled Signal (Interpolated)', linestyle='dashed', color='green', linewidth=1)
+ ax_zer.legend()
+
+ if self._config.have_filter():
+ ax_int.plot(t_int, x_int, label='Interpolated Signal (Sampled)', marker='x', linestyle='none', color='red', linewidth=1)
+ ax_int.plot(t_interp, x_int_interp, label='Interpolated Signal (Interpolated)', linestyle='dashed', color='red', linewidth=1)
+ ax_int.legend()
+
+ self._td_fig.tight_layout()
+ self._td_canvas.draw()
+
+ def draw_fd(self):
+ self._fd_fig.clear()
+
+ if self._config.have_filter():
+ ax_inp = self._fd_fig.add_subplot(3, 1, 1)
+ ax_zer = self._fd_fig.add_subplot(3, 1, 2)
+ ax_int = self._fd_fig.add_subplot(3, 1, 3)
+ else:
+ ax_inp = self._fd_fig.add_subplot(2, 1, 1)
+ ax_zer = self._fd_fig.add_subplot(2, 1, 2)
+ ax_inp.set_xlim(-self._config.sample_rate/2, self._config.sample_rate/2)
+ ax_inp.set_xlabel('frequency')
+ ax_inp.set_ylabel('value (dB)')
+ ax_inp.set_title('Input Signal')
+ ax_zer.set_xlim(-self._config.interpolation * self._config.sample_rate/2, self._config.interpolation * self._config.sample_rate/2)
+ ax_zer.set_xlabel('frequency')
+ ax_zer.set_ylabel('value (dB)')
+ ax_zer.set_title('Zero-Filled Filter')
+ if self._config.have_filter():
+ ax_int.set_xlim(-self._config.interpolation * self._config.sample_rate/2, self._config.interpolation * self._config.sample_rate/2)
+ ax_int.set_xlabel('frequency')
+ ax_int.set_ylabel('value (dB)')
+ ax_int.set_title('Interpolated Signal')
+
+ t = np.arange(0, FFT_LEN, 1) / self._config.sample_rate
+ f = swap_freq(np.fft.fftfreq(t.shape[-1], 1.0/self._config.sample_rate))
+
+ x_inp = self._config.calc_input_signal(t)
+ t_zer, x_zer = self._config.calc_zerofilled_signal(t)
+ f_zer = swap_freq(np.fft.fftfreq(t_zer.shape[-1], 1.0 / (self._config.sample_rate * self._config.interpolation)))
+
+ if self._config.have_filter():
+ t_int, x_int = self._config.calc_filtered_signal(t)
+ f_int = swap_freq(np.fft.fftfreq(t_int.shape[-1], 1.0 / (self._config.sample_rate * self._config.interpolation)))
+
+ ax_inp.plot(f, abs_log_fft(x_inp), label='Input Signal', linestyle='solid', color='blue', linewidth=1)
+ ax_inp.legend()
+
+ ax_zer.plot(f_zer, abs_log_fft(x_zer), label='Zero-Filled Signal', linestyle='solid', color='green', linewidth=1)
+ ax_zer.legend()
+
+ if self._config.have_filter():
+ ax_int.plot(f_int, abs_log_fft(x_int), label='Interpolated Signal', linestyle='solid', color='red', linewidth=1)
+ ax_int.legend()
+
+ self._fd_fig.tight_layout()
+ self._fd_canvas.draw()
+
+
+class Ch06UpSamplingWindow(Window):
+ GROUP = Ch06Group
+ TITLE = 'Up Sampling'
+ FRAME = Ch06UpSamplingFrame
+
+
+if __name__ == '__main__':
+ Ch06UpSamplingWindow.main()
+