bartorch.tools.ssa#
- bartorch.tools.ssa(src, *, w=None, z=False, m=None, n=None, r=None, g=None, **extra)#
Perform SSA-FARY or Singular Spectrum Analysis. <src>: [samples, coordinates]
Runs
bart ssa.- Parameters:
src (torch.Tensor) – Input array.
w (int | None) – Window length (
-w)z (bool) – Zeropadding [Default: True] (
-z)m (int | None) – Remove mean [Default: True] (
-m)n (int | None) – Normalize [Default: False] (
-n)r (int | None) – Rank for backprojection. r < 0: Throw away first r components. r > 0: Use only first r components. (
-r)g (int | tuple[int, ...] | None) – Grouping, as a set of indices. (
-g)**extra (Any) – Further BART flags, passed through by name.
- Returns:
EOF, S, backprojection
- Return type:
tuple of torch.Tensor