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Eval_Lowpass_List.py
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43 lines (21 loc) · 1.41 KB
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# -*- coding: utf-8 -*-
"""
Created on Tue Feb 18 08:59:43 2020
@author: Mona Fuhrländer (Technische Universität Darmstadt, mona.fuhrlaender@tu-darmstadt.de)
Returns QoI data for Lowpass Filter from a csv file (S-Parameter values)
"""
import numpy as np
def eval_lowpass(self,sample_point,dB = False):
sample_number = sample_point[0]+1
freq_number = len(self.freqrange)
QoI = self.QoI
S_dB = QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,7]
S_real = QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,4]
S_imag = QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,5]
S_dB = np.transpose([QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,1],QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,7]])
S_real = np.transpose([QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,1],QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,4]])
S_imag = np.transpose([QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,1],QoI[(sample_number-1)*freq_number:(sample_number-1)*freq_number+freq_number,5]])
if dB:
return S_dB
else:
return S_real, S_imag