Lovelace's Square - Reconstruction of saturated spectra via O-ALS
MIT | 1.0 | 2025-09-27
Reconstruction of saturated spectra via O-ALS
PreprocessingMissing dataMATLAB
Recovers saturated spectral signals by modeling data as a low-rank bilinear system, flagging clipped channels as missing (NaNs), estimating scores and loadings with Orthogonalized Alternating Least Squares (O-ALS) at a known rank, and reconstructing the saturated regions from those estimated scores and loadings.