ica#
- diffsptk.ICA#
alias of
IndependentComponentAnalysis
- class diffsptk.IndependentComponentAnalysis(order, n_comp, func='logcosh', n_iter=100, eps=0.0001, batch_size=None, seed=None, verbose=False)[source]#
Independent component analysis module. Note that the forward method is not differentiable.
- Parameters:
- orderint >= 0
Order of vector, \(M\).
- n_compint >= 1
Number of components, \(K\).
- func[‘logcosh’, ‘gauss’]
The nonquadratic function used in the approximation of negentropy.
- n_iterint >= 1
Number of iterations.
- epsfloat >= 0
Convergence threshold.
- batch_sizeint >= 1 or None
Batch size.
- seedint or None
Random seed.
- verbosebool
If True, show progress bar.
References
[1]A. Hyvarinen and E. Oja, “Independent component analysis: algorithms and applications,” Neural Networks, vol. 13, pp. 411-430, 2000.
See also