| # 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 ConfigCh06DownSampling(ConfigObject): |
| _KEY = 'ch06_down_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 |
| decimation: 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='Decimation Factor:').grid(row=1, column=0) |
| w = self.ui_create_decimation(frm1) |
| frm.add_widget(w) |
| w.grid(row=1, column=1) |
| |
| ttk.Label(frm1, text='Anti-Aliasing 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 _decimate_vec(self, vec: np.ndarray) -> np.ndarray: |
| return np.array([vec[idx] for idx in range(0, len(vec), self.decimation)]) |
| |
| 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_decimated_bypassed_signal(self, t: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: |
| sig = self.calc_input_signal(t) |
| return self._decimate_vec(t), self._decimate_vec(sig) |
| |
| def calc_filtered_signal(self, t: np.ndarray) -> np.ndarray: |
| inp = self.calc_input_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) |
| zi = scipy.signal.lfilter_zi(b, a) |
| z, _ = scipy.signal.lfilter(b, a, inp, zi=zi*inp[0]) |
| return z |
| else: |
| return inp |
| |
| def calc_decimated_signal(self, t: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: |
| sig = self.calc_filtered_signal(t) |
| return self._decimate_vec(t), self._decimate_vec(sig) |
| |
| |
| class Ch06DownSamplingFrame(BaseFrame): |
| def __init__(self, *args, **kwargs): |
| super().__init__(*args, **kwargs) |
| |
| self._config: ConfigCh06DownSampling = default_store().get_config(ConfigCh06DownSampling) |
| |
| 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) |
| else: |
| ax_inp = self._td_fig.add_subplot(2, 1, 1) |
| ax_inp.set_xlim(0.0, 1.1) |
| ax_inp.set_xlabel('time') |
| ax_inp.set_ylabel('value') |
| ax_inp.set_title('Input Signal') |
| if self._config.have_filter(): |
| ax_flt = self._td_fig.add_subplot(3, 1, 2) |
| ax_flt.set_xlim(0.0, 1.1) |
| ax_flt.set_xlabel('time') |
| ax_flt.set_ylabel('value') |
| ax_flt.set_title('Signal After Anti-Aliasing Filter') |
| ax_dec = self._td_fig.add_subplot(3, 1, 3) |
| else: |
| ax_dec = self._td_fig.add_subplot(2, 1, 2) |
| ax_dec.set_xlim(0.0, 1.1) |
| ax_dec.set_xlabel('time') |
| ax_dec.set_ylabel('value') |
| ax_dec.set_title('Decimated 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) |
| t_inp_dec, x_inp_dec = self._config.calc_decimated_bypassed_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,)) |
| |
| if self._config.have_filter(): |
| x_flt = self._config.calc_filtered_signal(t) |
| if len(t) > 3: |
| fn_flt_interp = make_interp_spline(t, x_flt) |
| x_flt_interp = fn_flt_interp(t_interp) |
| else: |
| x_flt_interp = np.zeros((0,)) |
| |
| t_dec, x_dec = self._config.calc_decimated_signal(t) |
| if len(t) > 3: |
| fn_dec_interp = make_interp_spline(t_dec, x_dec) |
| x_dec_interp = fn_dec_interp(t_interp) |
| else: |
| x_dec_interp = np.zeros((0,)) |
| |
| ax_inp.plot(t_inp_dec, x_inp_dec, label='Input Signal (Decimated)', marker='o', linestyle='none', color='red', linewidth=1) |
| 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() |
| |
| if self._config.have_filter(): |
| ax_flt.plot(t_dec, x_dec, label='Filtered Signal (Decimated)', marker='o', linestyle='none', color='red', linewidth=1) |
| ax_flt.plot(t, x_flt, label='Filtered Signal (Sampled)', marker='x', linestyle='none', color='green', linewidth=1) |
| ax_flt.plot(t_interp, x_flt_interp, label='Filtered Signal (Interpolated)', linestyle='dashed', color='green', linewidth=1) |
| ax_flt.legend() |
| |
| ax_dec.plot(t_dec, x_dec, label='Decimated Signal (Sampled)', marker='x', linestyle='none', color='red', linewidth=1) |
| ax_dec.plot(t_interp, x_dec_interp, label='Decimated Signal (Interpolated)', linestyle='dashed', color='red', linewidth=1) |
| ax_dec.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) |
| else: |
| ax_inp = self._fd_fig.add_subplot(2, 1, 1) |
| 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') |
| if self._config.have_filter(): |
| ax_flt = self._fd_fig.add_subplot(3, 1, 2) |
| ax_flt.set_xlim(-self._config.sample_rate/2, self._config.sample_rate/2) |
| ax_flt.set_xlabel('frequency') |
| ax_flt.set_ylabel('value (dB)') |
| ax_flt.set_title('Signal After Anti-Aliasing Filter') |
| ax_dec = self._fd_fig.add_subplot(3, 1, 3) |
| else: |
| ax_dec = self._fd_fig.add_subplot(2, 1, 2) |
| ax_dec.set_xlim(-self._config.sample_rate/(self._config.decimation * 2), self._config.sample_rate/(self._config.decimation * 2)) |
| ax_dec.set_xlabel('frequency') |
| ax_dec.set_ylabel('value (dB)') |
| ax_dec.set_title('Decimated 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) |
| |
| if self._config.have_filter(): |
| x_flt = self._config.calc_filtered_signal(t) |
| |
| t_dec, x_dec = self._config.calc_decimated_signal(t) |
| f_dec = swap_freq(np.fft.fftfreq(t_dec.shape[-1], 1.0 * self._config.decimation / self._config.sample_rate)) |
| |
| ax_inp.plot(f, abs_log_fft(x_inp), label='Input Signal', linestyle='solid', color='blue', linewidth=1) |
| ax_inp.legend() |
| |
| if self._config.have_filter(): |
| ax_flt.plot(f, abs_log_fft(x_flt), label='Filtered Signal', linestyle='solid', color='green', linewidth=1) |
| ax_flt.legend() |
| |
| ax_dec.plot(f_dec, abs_log_fft(x_dec), label='Decimated Signal', linestyle='solid', color='red', linewidth=1) |
| ax_dec.legend() |
| |
| self._fd_fig.tight_layout() |
| self._fd_canvas.draw() |
| |
| |
| class Ch06DownSamplingWindow(Window): |
| GROUP = Ch06Group |
| TITLE = 'Down Sampling' |
| FRAME = Ch06DownSamplingFrame |
| |
| |
| if __name__ == '__main__': |
| Ch06DownSamplingWindow.main() |
| |