resistics.common.math module¶
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resistics.common.math.forwardFFT(data: numpy.ndarray, norm: bool = True)[source]¶ Forward real fourier transform
- Parameters
- datanp.ndarray
Time array to be transformed
- normbool, optional
Normalisation option
- Returns
- fourierDatanp.ndarray
Fourier transformed data
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resistics.common.math.getFrequencyArray(fs: float, samples: int) → numpy.ndarray[source]¶ Calculate the frequency array for a real fourier transform
Frequency array goes from 0Hz to Nyquist. Nyquist = fs/2
- Parameters
- fsfloat
Sampling frequency
- samplesint
Number of samples
- Returns
- frequenciesnp.ndarray
Array of rfft frequencies
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resistics.common.math.intdiv(nom: Union[int, float], div: Union[int, float]) → int[source]¶ Return an integer result of division
The division is expected to be exact and ensures an integer return rather than float. Code execution will exit if division is not exact
- Parameters
- nomint, float
Nominator
- divint, float
Divisor
- Returns
- outint
Result of division
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resistics.common.math.inverseFFT(data: numpy.ndarray, length: int, norm: bool = True)[source]¶ Inverse real fourier transform
- Parameters
- datanp.ndarray
Time array to be transformed
- lengthint
Length of output time data (to remove padding)
- normbool, optional
Normalisation option
- Returns
- timeDatanp.ndarray
Inverse fourier transformed data