picard_ica.h File Reference

Declaration of the PicardIca class — Preconditioned ICA for Real Data. More...

#include "dsp_global.h"
#include "ica.h"
#include <Eigen/Core>
#include <QVector>

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Classes
class	UTILSLIB::PicardIca
	Independent Component Analysis using the Picard algorithm. More...

Namespaces
namespace	UTILSLIB
	Shared utilities (I/O helpers, spectral analysis, layout management, warp algorithms).

Detailed Description

Declaration of the PicardIca class — Preconditioned ICA for Real Data.

SPDX-License-Identifier: BSD-3-Clause Copyright (c) 2026 MNE-CPP Authors

Author

Christoph Dinh chris.nosp@m.toph.nosp@m..dinh.nosp@m.@mne.nosp@m.-cpp..nosp@m.org

Since

2.2.1

Date

May 2026

Algorithm: P. Ablin, J.-F. Cardoso, A. Gramfort (2018). "Faster Independent Component Analysis by Preconditioning with Hessian Approximations." IEEE TSP 66(15):4040–4049. Uses an approximate Hessian (L-BFGS-like) preconditioner for faster convergence.

Definition in file picard_ica.h.