More specifically, Section "Main steps of standard UBSS methods" recalls the source recovery and mixing matrix estimation steps in classical UBSS methods based on sparseness assumptions.
The advantage of the bottom-up approach is that we estimate r elements of r × r D r-matrix in the parameter estimation step and therefore, there is no danger of picking up the wrong subset of principal components.
In the direct method, the parameter covariance matrix is found during the parameter estimation step of the SELEST algorithm, while in the sensitivity method, the parameter covariance matrix is obtained through a time-varying sensitivity matrix.
ML tree topologies were constructed using the software PUZZLE 4.0 [ 43], employing 1000 puzzling steps, the JTT substitution matrix, estimation of rate heterogeneity using the gamma distribution model with eight rate categories, and the gamma-parameter estimation from the dataset.
The eigenvalues of these r-mode sample covariance matrices play a major role in the model order estimation step.
After the model matrix has been updated, the algorithm passes to the next iteration, by incrementing n and returning to the field estimation step.
For the two-step GLRT design criterion, we combine the multichannel AR parameter estimation algorithm with three covariance matrix estimation strategies for compound-Gaussian environment, then obtain three adaptive CG-PGLRT detectors by replacing the ideal multichannel AR parameters with their estimates.
Small sample covariance matrix estimation.
We chose to add the landmarks, based on the previous estimation step, by selecting the previous landmarks which have the best previous influence on the convergence of the state covariance matrix.
The proposed SCA-based approach has two main stages: modal matrix estimation and modal displacement estimation.
