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F0 IIR Simulations » History » Revision 2

Revision 1 (Alexis Jeandet, 05/11/2016 02:12 AM) → Revision 2/3 (Alexis Jeandet, 05/11/2016 02:20 AM) 

# F0 IIR Simulations 

 ## Context 
  Simulation made with VHD_Lib design Validation_IIR_f0_LFR r643. 
  To reproduce, run *generate.xsh* script with the number of iterations you want as parameter 

 ```bash 
  ./generate.xsh 10 
 ``` 

  Then to plot results open *plot_results* notebook. 

 ## Notebook  

 


 ```python 
 import numpy as np 
 import matplotlib.pyplot as plt 
 import glob  
 import pandas as pds 
 ``` 


 ```python 
 inputsig = pds.read_csv("./2016-11-05_01-35-28/input.txt",sep=" ",header=None) 
 inputsig.columns=[ "CH{}".format(i) for i in range(inputsig.shape[1])] 
 outputsig = pds.read_csv("./2016-11-05_01-35-28/output_fx.txt",sep=" ",header=None) 
 outputsig.columns=["Tstamp"]+[ "CH{}".format(i) for i in range(outputsig.shape[1]-1)] 

 ``` 


 ```python 
 for folder in glob.glob("./2016*"): 
     inputsig = pds.read_csv(folder+"/input.txt",sep=" ",header=None) 
     inputsig.columns=[ "CH{}".format(i) for i in range(inputsig.shape[1])] 
     outputsig = pds.read_csv(folder+"/output_fx.txt",sep=" ",header=None) 
     outputsig.columns=["Tstamp"]+[ "CH{}".format(i) for i in range(outputsig.shape[1]-1)] 
     f, axarr = plt.subplots(1,2,figsize=(14, 6)) 
     (outputsig.filter(regex="CH*")- inputsig*0.8912)[150:].plot(ax=axarr[0]) 
     axarr[0].legend(loc='upper right') 
     (outputsig.filter(regex="CH*")[:100]/0.8912).plot(ax=axarr[1]) 
     axarr[1].legend(loc='upper right') 
     plt.show() 
 ``` 


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