diff options
author | Matthias P. Braendli <matthias.braendli@mpb.li> | 2018-12-04 16:45:58 +0100 |
---|---|---|
committer | Matthias P. Braendli <matthias.braendli@mpb.li> | 2018-12-04 16:45:58 +0100 |
commit | 5cf52c74e9eb6bf8a82af4509ff3eb5106f928f9 (patch) | |
tree | a7edc1dfd2b2f4469f4dc4d760fdfa83a25fa710 /python/dpd/src/Model_PM.py | |
parent | d5cbe10c0e2298b0e40161607a3da158249bdb82 (diff) | |
download | dabmod-5cf52c74e9eb6bf8a82af4509ff3eb5106f928f9.tar.gz dabmod-5cf52c74e9eb6bf8a82af4509ff3eb5106f928f9.tar.bz2 dabmod-5cf52c74e9eb6bf8a82af4509ff3eb5106f928f9.zip |
Rework GUI and DPDCE
Diffstat (limited to 'python/dpd/src/Model_PM.py')
-rw-r--r-- | python/dpd/src/Model_PM.py | 124 |
1 files changed, 0 insertions, 124 deletions
diff --git a/python/dpd/src/Model_PM.py b/python/dpd/src/Model_PM.py deleted file mode 100644 index 7b80bf3..0000000 --- a/python/dpd/src/Model_PM.py +++ /dev/null @@ -1,124 +0,0 @@ -# -*- coding: utf-8 -*- -# -# DPD Computation Engine, model implementation for Amplitude and not Phase -# -# http://www.opendigitalradio.org -# Licence: The MIT License, see notice at the end of this file - -import datetime -import os -import logging -import numpy as np -import matplotlib.pyplot as plt - - -def is_npfloat32(array): - assert isinstance(array, np.ndarray), type(array) - assert array.dtype == np.float32, array.dtype - assert array.flags.contiguous - assert not any(np.isnan(array)) - - -def check_input_get_next_coefs(tx_dpd, phase_diff): - is_npfloat32(tx_dpd) - is_npfloat32(phase_diff) - - -class Model_PM: - """Calculates new coefficients using the measurement and the previous - coefficients""" - - def __init__(self, - c, - learning_rate_pm=1, - plot=False): - self.c = c - - self.learning_rate_pm = learning_rate_pm - self.plot = plot - - def _plot(self, tx_dpd, phase_diff, coefs_pm, coefs_pm_new): - if self.plot and self.c.plot_location is not None: - tx_range, phase_diff_est = self.calc_line(coefs_pm, 0, 0.6) - tx_range_new, phase_diff_est_new = self.calc_line(coefs_pm_new, 0, 0.6) - - dt = datetime.datetime.now().isoformat() - fig_path = self.c.plot_location + "/" + dt + "_Model_PM.png" - sub_rows = 1 - sub_cols = 1 - fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6)) - i_sub = 0 - - i_sub += 1 - ax = plt.subplot(sub_rows, sub_cols, i_sub) - ax.plot(tx_range, phase_diff_est, - label="Estimated Phase Diff", - alpha=0.3, - color="gray") - ax.plot(tx_range_new, phase_diff_est_new, - label="New Estimated Phase Diff", - color="red") - ax.scatter(tx_dpd, phase_diff, - label="Binned Data", - color="blue", - s=1) - ax.set_title("Model_PM") - ax.set_xlabel("TX Amplitude") - ax.set_ylabel("Phase DIff") - ax.legend(loc=4) - - fig.tight_layout() - fig.savefig(fig_path) - plt.close(fig) - - def _discard_small_values(self, tx_dpd, phase_diff): - """ Assumes that the phase for small tx amplitudes is zero""" - mask = tx_dpd < self.c.MPM_tx_min - phase_diff[mask] = 0 - return tx_dpd, phase_diff - - def poly(self, sig): - return np.array([sig ** i for i in range(0, 5)]).T - - def fit_poly(self, tx_abs, phase_diff): - return np.linalg.lstsq(self.poly(tx_abs), phase_diff, rcond=None)[0] - - def calc_line(self, coefs, min_amp, max_amp): - tx_range = np.linspace(min_amp, max_amp) - phase_diff = np.sum(self.poly(tx_range) * coefs, axis=1) - return tx_range, phase_diff - - def get_next_coefs(self, tx_dpd, phase_diff, coefs_pm): - """Calculate the next AM/PM coefficients using the extracted - statistic of TX amplitude and phase difference""" - tx_dpd, phase_diff = self._discard_small_values(tx_dpd, phase_diff) - check_input_get_next_coefs(tx_dpd, phase_diff) - - coefs_pm_new = self.fit_poly(tx_dpd, phase_diff) - - coefs_pm_new = coefs_pm + self.learning_rate_pm * (coefs_pm_new - coefs_pm) - self._plot(tx_dpd, phase_diff, coefs_pm, coefs_pm_new) - - return coefs_pm_new - -# The MIT License (MIT) -# -# Copyright (c) 2017 Andreas Steger -# -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the "Software"), to deal -# in the Software without restriction, including without limitation the rights -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -# copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: -# -# The above copyright notice and this permission notice shall be included in all -# copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -# SOFTWARE. |