torch_ecg.utils.resample_t¶
- torch_ecg.utils.resample_t(sig: Tensor, fs: int | None = None, dst_fs: int | None = None, siglen: int | None = None, inplace: bool = False) Tensor¶
Resample signal tensors to a new sampling frequency or a new signal length.
- Parameters:
sig (torch.Tensor) – Signal to be normalized, assumed to have shape
(..., n_leads, siglen).fs (int, optional) – Sampling frequency of the source signal to be resampled.
dst_fs (int, optional) – Sampling frequency of the resampled signal.
siglen (int, optional) – Number of samples in the resampled signal. NOTE that one of only one of dst_fs (with fs) and siglen should be set.
inplace (bool, default False) – Whether to perform the operation in-place or not.
- Returns:
The resampled signal, of shape
(..., n_leads, siglen).- Return type: