1 files changed, 0 insertions, 124 deletions
diff --git a/dpd/src/Model_PM.py b/dpd/src/Model_PM.py
deleted file mode 100644
index 7b80bf3..0000000
--- a/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.