ulab.fft
¶
- ulab.fft.fft(r: ulab.array, c: Optional[ulab.array] = None) Tuple[ulab.array, ulab.array] ¶
- Parameters
r (ulab.array) – A 1-dimension array of values whose size is a power of 2
c (ulab.array) – An optional 1-dimension array of values whose size is a power of 2, giving the complex part of the value
- Return tuple (r, c)
The real and complex parts of the FFT
Perform a Fast Fourier Transform from the time domain into the frequency domain
See also ~ulab.extras.spectrum, which computes the magnitude of the fft, rather than separately returning its real and imaginary parts.
- ulab.fft.ifft(r: ulab.array, c: Optional[ulab.array] = None) Tuple[ulab.array, ulab.array] ¶
- Parameters
r (ulab.array) – A 1-dimension array of values whose size is a power of 2
c (ulab.array) – An optional 1-dimension array of values whose size is a power of 2, giving the complex part of the value
- Return tuple (r, c)
The real and complex parts of the inverse FFT
Perform an Inverse Fast Fourier Transform from the frequeny domain into the time domain
- ulab.fft.spectrogram(r: ulab.array) ulab.array ¶
- Parameters
r (ulab.array) – A 1-dimension array of values whose size is a power of 2
Computes the spectrum of the input signal. This is the absolute value of the (complex-valued) fft of the signal. This function is similar to scipy’s
scipy.signal.spectrogram
.