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Feature/multitaper psd estimate #458

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Moritz-Alexander-Kern
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This PR is to fix an issue where the authors of #417 where incorrectly identified.

Original PR #417
Revert was done in #457

Description from the original PR #417:

This PR covers the basic implementation of multitaper in Elephant. Tests include a comparison against nitime multitaper. Any feedback is appreciated!

Please note: The test against nitime will fail due to the missing .npy files. Please check if this style of the test is sufficient. If so, the files can be uploaded to the correct location and the test should then pass.

ackurth and others added 30 commits January 11, 2021 11:07
…re that peak_resolution is the primary parameter.
rjurkus and others added 22 commits October 1, 2021 14:56
…re that peak_resolution is the primary parameter.
sym='False' -> sym=False (boolean parameter)
nperseg -> n_per_seg (consistency)
…ad data from the elephant-data repo (using test_spike_train_synchrony.py and test_unitary_event_analysis.py approach)

Replaced a large part of test_multitaper_psd_against_nitime docstring with a URL to the elephant-data repo, updated the mentioned nitime version and corrected a typo
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Coverage Status

Coverage decreased (-0.07%) to 88.615% when pulling d0a8601 on INM-6:feature/multitaper_psd_estimate into 8a284ad on NeuralEnsemble:master.

@Moritz-Alexander-Kern Moritz-Alexander-Kern merged commit b263ffe into NeuralEnsemble:master Feb 25, 2022
@Moritz-Alexander-Kern Moritz-Alexander-Kern mentioned this pull request Mar 9, 2022
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@Moritz-Alexander-Kern Moritz-Alexander-Kern deleted the feature/multitaper_psd_estimate branch October 28, 2022 07:31
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10 participants