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218 lines
5.2 KiB
Python
218 lines
5.2 KiB
Python
import os.path
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import numpy as np
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import itertools
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import Tools
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import scipy.signal.windows as win
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import matplotlib.pyplot as plt
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def genwelch(n):
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ik = 2*np.array(range(n)) / n
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w = ik -1;
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w = 1 - w**2
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if len(w)!=n:
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print("Error with window len in Welch")
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exit(1)
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return(w)
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def genbartlett(n):
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w = win.bartlett(n,sym=False)
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return(w)
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def genhamming(n):
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w = win.hamming(n,sym=False)
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return(w)
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def genhanning(n):
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w = win.hann(n,sym=False)
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return(w)
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def gennuttall3(n):
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w = win.general_cosine(n,
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[0.375, 0.5 , 0.125 ],sym=False)
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return(w)
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def gennuttall4(n):
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w = win.general_cosine(n,
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[0.3125, 0.46875,0.1875 , 0.03125],sym=False)
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return(w)
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def gennuttall3a(n):
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w = win.general_cosine(n,
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[0.40897, 0.5 ,0.09103],sym=False)
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return(w)
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def gennuttall3b(n):
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w = win.general_cosine(n,
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[0.4243801, 0.4973406 , 0.0782793 ],sym=False)
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return(w)
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def gennuttall4a(n):
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w = win.general_cosine(n,
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[0.338946, 0.481973,0.161054 , 0.018027 ],sym=False)
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return(w)
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def genblackman_harris_92db(n):
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w = win.blackmanharris(n,sym=False)
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return(w)
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def gennuttall4b(n):
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w = win.general_cosine(n,
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[0.355768, 0.487396 ,
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0.144232 , 0.012604 ],sym=False)
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return(w)
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def gennuttall4c(n):
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w = win.nuttall(n,sym=False)
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return(w)
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def genhft90d(n):
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w = win.general_cosine(n,
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[1 ,1.942604 ,
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1.340318 , 0.440811 , 0.043097 ],sym=False)
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return(w)
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def genhft95(n):
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w = win.general_cosine(n,
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[1, 1.9383379 ,
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1.3045202 ,0.4028270 ,0.0350665 ]
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,sym=False)
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return(w)
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def genhft116d(n):
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w = win.general_cosine(n,
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[1, 1.9575375 ,
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1.4780705 ,0.6367431 ,
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0.1228389 ,0.0066288 ]
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,sym=False)
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return(w)
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def genhft144d(n):
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w = win.general_cosine(n,
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[1 ,1.96760033 ,
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1.57983607 , 0.81123644 ,
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0.22583558 ,0.02773848 , 0.00090360 ]
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,sym=False)
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return(w)
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def genhft169d(n):
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w = win.general_cosine(n,
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[1, 1.97441843 ,
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1.65409889 , 0.95788187 ,
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0.33673420 , 0.06364622 ,
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0.00521942 ,0.00010599 ]
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,sym=False)
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return(w)
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def genhft196d(n):
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w = win.general_cosine(n,
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[1, 1.979280420 ,
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1.710288951 , 1.081629853 ,
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0.448734314 , 0.112376628 ,
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0.015122992 ,0.000871252 , 0.000011896 ]
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,sym=False)
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return(w)
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def genhft223d(n):
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w = win.general_cosine(n,
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[1, 1.98298997309,
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1.75556083063 , 1.19037717712 ,
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0.56155440797 , 0.17296769663 ,
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0.03233247087 ,0.00324954578 ,
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0.00013801040 ,0.00000132725 ]
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,sym=False)
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return(w)
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def genhft248d(n):
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w = win.general_cosine(n,
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[1, 1.985844164102 ,
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1.791176438506 , 1.282075284005 ,
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0.667777530266 , 0.240160796576 ,
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0.056656381764 ,0.008134974479 ,
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0.000624544650 ,0.000019808998 ,
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0.000000132974 ]
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,sym=False)
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return(w)
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def writeTests(config,format):
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NBSAMPLES=128
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data1=np.random.randn(NBSAMPLES)
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data1 = Tools.normalize(data1)
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data1 = genwelch(NBSAMPLES)
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config.writeReference(1, data1,"RefWelch_")
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data1 = genbartlett(NBSAMPLES)
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config.writeReference(2, data1,"RefBartlett_")
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data1 = genhamming(NBSAMPLES)
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config.writeReference(3, data1,"RefHamming_")
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data1 = genhanning(NBSAMPLES)
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config.writeReference(4, data1,"RefHanning_")
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data1 = gennuttall3(NBSAMPLES)
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config.writeReference(5, data1,"RefNuttall3_")
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data1 = gennuttall4(NBSAMPLES)
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config.writeReference(6, data1,"RefNuttall4_")
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data1 = gennuttall3a(NBSAMPLES)
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config.writeReference(7, data1,"RefNuttall3a_")
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data1 = gennuttall3b(NBSAMPLES)
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config.writeReference(8, data1,"RefNuttall3b_")
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data1 = gennuttall4a(NBSAMPLES)
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config.writeReference(9, data1,"RefNuttall4a_")
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data1 = genblackman_harris_92db(NBSAMPLES)
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config.writeReference(10, data1,"RefBlackman_harris_92db_")
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data1 = gennuttall4b(NBSAMPLES)
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config.writeReference(11, data1,"RefNuttall4b_")
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data1 = gennuttall4c(NBSAMPLES)
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config.writeReference(12, data1,"RefNuttall4c_")
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data1 = genhft90d(NBSAMPLES)
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config.writeReference(13, data1,"RefHft90d_")
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data1 = genhft95(NBSAMPLES)
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config.writeReference(14, data1,"RefHft95_")
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data1 = genhft116d(NBSAMPLES)
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config.writeReference(15, data1,"RefHft116d_")
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data1 = genhft144d(NBSAMPLES)
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config.writeReference(16, data1,"RefHft144d_")
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data1 = genhft169d(NBSAMPLES)
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config.writeReference(17, data1,"RefHft169d_")
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data1 = genhft196d(NBSAMPLES)
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config.writeReference(18, data1,"RefHft196d_")
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data1 = genhft223d(NBSAMPLES)
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config.writeReference(19, data1,"RefHft223d_")
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data1 = genhft248d(NBSAMPLES)
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config.writeReference(20, data1,"RefHft248d_")
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def generatePatterns():
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PATTERNDIR = os.path.join("Patterns","DSP","Window","Window")
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PARAMDIR = os.path.join("Parameters","DSP","Window","Window")
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configf64=Tools.Config(PATTERNDIR,PARAMDIR,"f64")
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configf32=Tools.Config(PATTERNDIR,PARAMDIR,"f32")
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writeTests(configf64,Tools.F64)
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writeTests(configf32,Tools.F32)
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if __name__ == '__main__':
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generatePatterns()
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