Hanning in Numpy | Python
Last Updated :
22 Jul, 2021
The Hanning window is a taper formed by using a weighted cosine.
Syntax: numpy.hamming(M)
Parameters:
M : Number of points in the output window.
Returns: AN array
The window, with the maximum value normalized to one (the value one appears only if M is odd).
Code #1:
import numpy as np
print (np.hanning( 12 ))
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Output:
[ 0. 0.07937323 0.29229249 0.57115742 0.82743037 0.97974649
0.97974649 0.82743037 0.57115742 0.29229249 0.07937323 0. ]
Code #2: Plotting the window and its frequency response (requires SciPy and matplotlib).
import numpy as np
import matplotlib.pyplot as plt
from numpy.fft import fft, fftshift
window = np.hanning( 51 )
plt.plot(window)
plt.title( "Hann window" )
plt.ylabel( "Amplitude"" )
plt.xlabel( "Sample" )
plt.show()
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Output:
For frequency:
import numpy as np
import matplotlib.pyplot as plt
from numpy.fft import fft, fftshift
window = np.hanning( 51 )
plt.figure()
A = fft(window, 2048 ) / 25.5
mag = np. abs (fftshift(A))
freq = np.linspace( - 0.5 , 0.5 , len (A))
response = 20 * np.log10(mag)
response = np.clip(response, - 100 , 100 )
plt.plot(freq, response)
plt.title( "Frequency response of Hanning window" )
plt.ylabel( "Magnitude [dB]" )
plt.xlabel( "Normalized frequency [cycles per sample]" )
plt.axis( "tight" )
plt.show()
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Output:
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