Subspace Methods¶
Subspace methods (including MUSIC variants) exploit the orthogonality between signal and noise subspaces to localize sources. They are particularly effective for localizing a small number of focal sources.
This category contains 12 solvers.
Solvers¶
| Full Name | Solver ID | Description |
|---|---|---|
| Adaptive Alternating Projections | AAP |
Adaptive variant of alternating-projection source localization with flexible-extent patch estimation. |
| Alternating Projections | AP |
Alternating-projection source localization on the signal subspace, extended here with flexible-extent (FLEX-AP) patch... |
| Extended Signal Subspace MUSIC | ExSo-MUSIC |
ExSo-MUSIC extended-source localization via pseudo-disk scanning. Supports 2nd-order (q=1, covariance-based, default... |
| Exhaustive Subspace Maximum-Likelihood | ExhaustiveML |
Source localization via exhaustive maximum-likelihood subset search (k<=3) with beam search extension (k>3) and BIC m... |
| FLEX Greedy Maximum-Likelihood | FLEX-GreedyML |
Source localization via multi-start greedy ML on an extended dictionary of single-dipole and patch leadfields with BI... |
| Flexible Extent RAP/TRAP-MUSIC | FLEX-MUSIC |
Recursive MUSIC variant with flexible extent estimation. Iteratively selects sources (RAP/TRAP-MUSIC) while allowing ... |
| FLEX-MUSIC 2 | FLEX-MUSIC2 |
Experimental FLEX-MUSIC variant with iterative neighborhood expansion and optional distance-weighted patch growth. |
| Generalized Iterative Subspace Solver | GI |
Generalized iterative framework covering RAP-MUSIC, alternating projections (AP), and signal subspace matching (SSM),... |
| Greedy Maximum-Likelihood | GreedyML |
Source localization via multi-start greedy forward selection with ML objective, BIC model order selection, and coordi... |
| Greedy Maximum-Likelihood | GreedyML |
Source localization via multi-start greedy forward selection with ML objective, BIC model order selection, and coordi... |
| Multiple Signal Classification | MUSIC |
Subspace-based dipole localization using the MUSIC pseudospectrum. Estimates a signal subspace from the data covarian... |
| Signal Subspace Matching | SSM |
Signal subspace matching (SSM) for robust source localization under model mismatch, extended with flexible-extent pat... |