`match_cov_and_spectrum`#

hypercoil.neuro.synth.match_cov_and_spectrum(signal: Tensor, spectrum: Tensor, cov: Tensor) → Tensor[source]#

Transform an input signal to match a given spectrum and covariance matrix.

Dimension:

signal : \((D, N)\): D denotes dimension of the multivariate signal and N denotes the number of observations per channel.
spectrum : \((D, F)\): D as above. F denotes the frequency dimension of the signal, e.g., N / 2 + 1.
cov : \((D, D)\): As above.

Parameters#

signaltensor: Input signal.
spectrumtensor: Spectrum to be matched.
covtensor: Covariance matrix to be matched.

See also

synthesise_from_cov_and_spectrum()
match_reference()