Gamma-MAP sparse inverse solver. More...

Static Public Member Functions
static InvGammaMapResult	compute (const Eigen::MatrixXd &matGain, const Eigen::MatrixXd &matData, const Eigen::MatrixXd &matNoiseCov, int nIterations=100, double tolerance=1e-6, double gammaThreshold=1e-10)

Detailed Description

Gamma-MAP sparse inverse solver.

Gamma-MAP sparse inverse solver (Sparse Bayesian Learning).

Iteratively estimates source variance hyperparameters (gamma) and prunes sources whose gamma falls below a threshold, yielding a sparse solution.

Definition at line 86 of file inv_gamma_map.h.

Member Function Documentation

InvGammaMapResult InvGammaMap::compute	(	const Eigen::MatrixXd &	matGain,
		const Eigen::MatrixXd &	matData,
		const Eigen::MatrixXd &	matNoiseCov,
		int	nIterations = 100,
		double	tolerance = 1e-6,
		double	gammaThreshold = 1e-10 )

static

Compute the Gamma-MAP inverse solution.

Parameters

[in]	matGain	Forward gain matrix (n_channels x n_sources).
[in]	matData	Measurement data (n_channels x n_times).
[in]	matNoiseCov	Noise covariance matrix (n_channels x n_channels).
[in]	nIterations	Maximum number of EM iterations.
[in]	tolerance	Convergence tolerance on relative gamma change.
[in]	gammaThreshold	Threshold below which sources are pruned.

Definition at line 59 of file inv_gamma_map.cpp.

The documentation for this class was generated from the following files: