Created
September 17, 2016 05:14
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numba error
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| import sys | |
| import pyfftw | |
| import numpy as np | |
| import scipy.signal | |
| import scipy.fftpack | |
| import matplotlib.pyplot as plt | |
| from timeit import Timer | |
| import time | |
| from numba import jit | |
| def create_signal(fs = 10000, N = 20000): | |
| # Timebase | |
| t = np.linspace(1,N,num=N) | |
| # Signal frequencies, f1 is musical 'A' | |
| f1 = 440 | |
| f2 = 8 * f1 | |
| # Signal power, 20Vrms here, try making this smaller or bigger | |
| a = 20.0 * np.sqrt(2) | |
| # Noise power, equal to 0.1 V**2/Hz, make this smaller like 0.0001 | |
| noise = 0.0001 * fs / 2 | |
| # Construct the data | |
| d = a * np.sin(2*np.pi*t*f1/fs) + 2 * a * np.sin(2*np.pi*t*f2/fs) | |
| d += np.random.normal(scale = np.sqrt(noise), size = t.shape) | |
| return d | |
| @jit(nopython=True) | |
| def runpyfftw(s, dbins, prf, win, ws, fft): | |
| rdysig = np.tile(win,(dbins,1)) * scipy.signal.detrend(s) | |
| for i in range(rdysig.shape[0]): | |
| v = fft( rdysig[i,:].flatten() ) | |
| psd = 2 * (np.real(v) * np.imag( v ))/(prf * ws) | |
| def main(): | |
| pyfftw.interfaces.cache.enable() | |
| prf = 10000 | |
| secs = 2 | |
| fftsize = 10000 | |
| dbins = 800 | |
| a = pyfftw.empty_aligned(prf * secs, dtype='float32') | |
| fft = pyfftw.builders.fft(a) | |
| s = np.tile( create_signal(prf, prf * secs)[np.newaxis] , (dbins,1) ) | |
| win = np.hanning(prf * secs) | |
| ws = np.sum(win**2) | |
| t = time.process_time() | |
| runpyfftw(s, dbins, prf, win, ws, fft) | |
| print(time.process_time() - t) |
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