[Equipe Audition]
[CNRS]
[Université Paris Descartes]
[ENS]
[DEC]
[LPP]
NoiseTools
NoiseTools is a Matlab toolbox to denoise and analyze multichannel
electrophysiological data, such as from EEG, MEG, electrode arrays or optical
imaging. NoiseTools implements several new algorithms that are effective to
suppress various sources of environmental, sensor, and physiological noise.
Download
(old versions).
Automatically generated HTML
documentation.
Test data
for example scripts.
WARNING: this code is under development and may radically change
without notice. Make an archival copy of any code you use. DO NOT
EXPECT YOUR CODE TO WORK WITH NEWER VERSIONS.
Please cite:
- de Cheveigné, A., Edeline, J.M., Gaucher, Q. Gourévitch, B.
(2013). "Component analysis reveals sharp tuning of the local field potential
in the guinea pig auditory cortex." J. Neurophysiol. 109, 261-272.
- de Cheveigné, A. (2012). "Quadratic component analysis." Neuroimage 59: 3838-3844.
[PDF]
- de Cheveigné, A. (2010). "Time-shift denoising source separation."
Journal of Neuroscience Methods 189: 113-120.
[PDF]
- de Cheveigné, A. and Simon, J. Z. (2008). "Denoising based on spatial filtering." Journal of Neuroscience Methods 171: 331-339.
[PDF]
- de Cheveigné, A. and Simon, J. Z. (2008). "Sensor Noise Suppression." Journal of Neuroscience Methods 168: 195-202.
[PDF]
- de Cheveigné, A. and Simon, J. Z. (2007). "Denoising based on Time-Shift PCA." Journal of Neuroscience Methods 165: 297-305.
[PDF]
[Equipe Audition]
[CNRS]
[Université Paris Descartes]
[ENS]
[DEC]
[LPP]