Signal processing frequency analysis functions¶
Frequency analysis functionalities with mainly FFT operation.
- scared.signal_processing.frequency_analysis.fft(data, frequency, axis=-1)[source]¶
Compute rFFT on real data along the given axis.
- Parameters:
data (numpy.ndarray) – N-dimensional real values array.
frequency (float) – the sampling rate/frequency, in Hz.
axis (int) – The axis of the input data array along which to apply the FFT. FFT is applied to each subarray along this axis. (default: -1).
- Returns:
frequencies, magnitude, phase
- Return type:
(numpy.ndarray, numpy.ndarray, numpy.ndarray)
Example
>>> import scipy.signal >>> import numpy as np >>> import matplotlib.pyplot as plt
>>> frequency = 10e3 >>> f = 100 >>> signal = scipy.signal.square(2 * np.pi * int(f) * np.linspace(0, 1, int(frequency)))
>>> frequencies, magnitude, phase = frequency_analysis.fft(signal, frequency)
>>> plt.plot(frequencies, magnitude) >>> plt.show()
>>> plt.plot(frequencies, phase) >>> plt.show()