alphacsc 0.3.dev
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      • alphaCSC: Convolution sparse coding for time-series
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Examples Gallery¶

Contents

  • Univariate CSC

  • Multivariate CSC with rank 1 constraints

  • Univariate CSC with an alpha-stable distribution

  • Other shift-invariant dictionary learning algorithms

Univariate CSC¶

CSC to learn LFP spiking atoms

CSC to learn LFP spiking atoms¶

Selecting random state for CSC

Selecting random state for CSC¶

Extracting cross-frequency coupling waveforms from rodent LFP data

Extracting cross-frequency coupling waveforms from rodent LFP data¶

Vanilla CSC on simulated data

Vanilla CSC on simulated data¶

Multivariate CSC with rank 1 constraints¶

Extracting :math:`\mu`-wave from the somato-sensory dataset

Extracting \mu-wave from the somato-sensory dataset¶

Extracting artifact and evoked response atoms from the sample dataset

Extracting artifact and evoked response atoms from the sample dataset¶

Univariate CSC with an alpha-stable distribution¶

Alpha CSC on simulated data

Alpha CSC on simulated data¶

Alpha CSC on empirical time-series with strong artifacts

Alpha CSC on empirical time-series with strong artifacts¶

Other shift-invariant dictionary learning algorithms¶

MoTIF on simulated data

MoTIF on simulated data¶

SWM on simulated data

SWM on simulated data¶

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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