FFT-based Resampling
Description
This module implements FFT-based resampling for EEG data. The fft_resample function uses the Fast Fourier Transform (FFT) to resample the input signals to a new sampling frequency, maintaining the spectral properties of the signal.
Function
- bciflow.modules.tf.resample_fft.fft_resample(eegdata, new_sfreq)[source]
- Parameters:
eegdata (dict) – A dictionary containing the EEG data, where the key ‘X’ holds the raw signal and ‘sfreq’ holds the original sampling frequency.
new_sfreq (float) – The new sampling frequency to which the data will be resampled.
- Returns:
The same dictionary passed in parameters, but with the resampled data stored under the key ‘X’ and the new sampling frequency under the key ‘sfreq’.
- Return type:
dict
- The implementation uses the scipy.signal.resample function, which performs FFT-based resampling. For more details on resampling techniques, refer to:
Smith, S. W. (1997). The Scientist and Engineer’s Guide to Digital Signal Processing. California Technical Publishing.
Oppenheim, A. V., & Schafer, R. W. (2010). Discrete-Time Signal Processing. Pearson.