BirdSongToolbox.preprocess.multi_bpf¶
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BirdSongToolbox.preprocess.multi_bpf(chunk_neural_data, fs, l_freqs, h_freqs, remove_edges=False, verbose=False, \*\*kwargs)¶ Run multiple bandpass filters on one neural data Epoch(Chunks)
- Parameters
- chunk_neural_datalist, shape (channels, samples)
A Single Chunk of Neural Data to be Bandpass Filtered
- fsfloat
The sample frequency in Hz.
- l_freqsarray-like | None
For FIR filters, the lower pass-band edge; for IIR filters, the upper cutoff frequency. If None the data are only low-passed.
- h_freqsarray-like | None
For FIR filters, the upper pass-band edge; for IIR filters, the upper cutoff frequency. If None the data are only low-passed.
- remove_edgesbool, optional, default: False
If True, replace samples within half the kernel length to be np.nan. Only used for FIR filters when using neurodsp.
- verbosebool, optional, default: False
If True it will print out information about the filter used, (mne only)
- Returns
- multi_filt_chunklist, shape [Freq]->(channels, samples)
The Chunk of Neural Data Bandpass Filtered
