tedana.decomposition._utils¶
Utility functions for tedana decomposition
Functions
eimask (dd[, ees]) |
Returns mask for data between [0.001, 5] * 98th percentile of dd |
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eimask
(dd, ees=None)[source]¶ Returns mask for data between [0.001, 5] * 98th percentile of dd
Parameters: - dd ((S x E x T) array_like) – Input data, where S is samples, E is echos, and T is time
- ees ((N,) list) – Indices of echos to assess from dd in calculating output
Returns: imask – Boolean array denoting
Return type: (S x N)
numpy.ndarray