fix bug spatial filter #4175 #4286
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src/spikeinterface/preprocessing/tests/test_highpass_spatial_filter.py
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src/spikeinterface/preprocessing/tests/test_highpass_spatial_filter.py
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| si_recording = se.read_spikeglx(local_path, stream_id="imec0.ap") | ||
| si_recording = spre.astype(si_recording, "float") | ||
| recording_ps = si.phase_shift(si_recording) | ||
| recording_hp = si.highpass_filter(recording_ps, freq_min=300, filter_order=3) |
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| recording_hp = si.highpass_filter(recording_ps, freq_min=300, filter_order=3) | |
| recording_hp = spre.highpass_filter(recording_ps, freq_min=300, filter_order=3) |
src/spikeinterface/preprocessing/tests/test_highpass_spatial_filter.py
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| def agc(traces, window, epsilon=1e-8): | ||
| def agc(traces, window, epsilon=None): |
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I think this is a problem here because the espilon will change for every chunk no ?
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I would vote to force espilon here because it is an helper function and compute it the init of the class.
no ?
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Yes but this is a second order issue, we just need to stabilize the inverse of the gain.
To mitigate, I have exposed the epsilon as a parameter in the interface. It would be useful to have a BaseRecording.estimate_rms() method to fix a single epsilon for the full processing, but this is beyond the scope of this PR.
If everyone is on-board for this, I can create an issue and summarize this discussion
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Sounds good to me. We hav an get_noise_levels(recording, method="rms") that we could run in the init if rms levels are not estimated yet. But let's discuss specifics on the new issue
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Fixed the main bug: all of the processing has to be done in float, even if only to reconvert to int at the end of the module.
I have also improved a few things:
neurodspmodule doesn't exist anymore