Changes in sinewave_generator

Author: Ezetowers

tests/pocs/sine_generation/sinewave_generator.py

@@ -1,24 +1,3 @@
-# -*- coding: utf-8 -*-
-# MLC (Machine Learning Control): A genetic algorithm library to solve chaotic problems
-# Copyright (C) 2015-2017, Thomas Duriez (thomas.duriez@gmail.com)
-# Copyright (C) 2015, Adrian Durán (adrianmdu@gmail.com)
-# Copyright (C) 2015-2017, Ezequiel Torres Feyuk (ezequiel.torresfeyuk@gmail.com)
-# Copyright (C) 2016-2017, Marco Germano Zbrun (marco.germano@intraway.com)
-# Copyright (C) 2016-2017, Raúl Lopez Skuba (raulopez0@gmail.com)
-#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>
-
 # -*- coding: utf-8 -*-
 # MLC (Machine Learning Control): A genetic algorithm library to solve chaotic problems
 # Copyright (C) 2015-2017, Thomas Duriez (thomas.duriez@gmail.com)
@@ -62,26 +41,31 @@
 import matplotlib.pyplot as plt
 
 # Sine amplitud
-A = 1
+A = 1.1
 # Offset
-Offset = 1.6
+Offset = 1.65
 f0 = 10
 w0 = 2 * np.pi * f0
-fs = 10e3
+fs = 1e3
 
 n = np.linspace(0, fs, num=fs)
 sinewave = Offset + A * np.cos(w0 * n / fs)
 
-dac_max_value = 3800
-dac_min_value = 100
+dac_max_value = 4095
+dac_min_value = 0
+dac_amp_pp = dac_max_value - dac_min_value
+min_value = 0.55
+max_value = 2.75
+amp_pp = max_value - min_value
+
 
 # Normalization
 min_value = Offset - A
-sinewave = (sinewave - min_value) * (dac_max_value - dac_min_value) / 2 + dac_min_value
+sinewave = (sinewave - min_value) * dac_amp_pp / amp_pp + dac_min_value
 sinewave = [int(x) for x in sinewave]
 
 fig = plt.figure()
-plt.plot(n, sinewave, 'k')
+plt.plot(n, sinewave, 'k', linestyle=':')
 plt.show(block=True)
 
 output = ""