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https://github.com/jopohl/urh.git
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12389953c6
* add cython method for abs2 * add arr2decibel method * add timings * add fft benchmark * add live spectrogram test * add test for spectrum analyzer * tune thread count * add spectrogram to spectrum dialog * integrate waterfall * fix unittest * improve grid scene * draw frequency marker in spectrum analyzer * clear spectrogram on clear button + remove marker on leave * eliminate spectrogram graphic view on close * ensure spectrogram fits in view * guard resize * add test for clear button in spectrum dialog
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import numpy as np
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import time
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def init_array(size: int):
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result = np.empty((size, size), dtype=np.complex64)
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result.real = np.random.rand(size)
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result.imag = np.random.rand(size)
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return result
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def numpy_fft(array, window_size:int):
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np.fft.fft(array, window_size)
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def scipy_fft(array, window_size: int):
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import scipy.fftpack
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scipy.fftpack.fft(array, window_size)
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def pyfftw_fft(array):
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import pyfftw
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pyfftw.interfaces.cache.enable()
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fft_a = pyfftw.interfaces.numpy_fft.fft(array, threads=2, overwrite_input=True)
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if __name__ == '__main__':
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print("Size\tIterations\tNumpy\tScipy\tPyFFTW")
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iterations = 70
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arr = init_array(1024)
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numpy_time = time.time()
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for _ in range(iterations):
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numpy_fft(arr, 1024)
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numpy_time = time.time()-numpy_time
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scipy_time = time.time()
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for _ in range(iterations):
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scipy_fft(arr, 1024)
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scipy_time = time.time()-scipy_time
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pyfftw_time = time.time()
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for _ in range(iterations):
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pyfftw_fft(arr)
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pyfftw_time = time.time()-pyfftw_time
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print("{0}\t{1}\t\t\t{2:.4f}\t{3:.4f}\t{4:.4f}".format(1024, iterations, numpy_time, scipy_time, pyfftw_time))
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