ZCFilter#
- class myoverse.datasets.filters.temporal.ZCFilter(input_is_chunked, is_output=False, name=None, run_checks=True, *, window_size, shift=1)[source]#
Computes the zero crossings [1] of the input array.
Zero crossings are the number of times the signal crosses the zero axis. It is a measure of the number of times the signal changes sign.
\[\text{ZC} = \sum_{i=1}^{N} \frac{1}{2} |\text{sign}(x_i) - \text{sign}(x_{i-1})|\]- Parameters:
input_is_chunked (bool) – Whether the input is chunked or not.
is_output (bool) – Whether the filter is an output filter.
name (str | None) – Name of the filter, by default None.
run_checks (bool) –
Whether to run the checks when filtering. By default, True. If False can potentially speed up performance.
Warning
If False, the user is responsible for ensuring that the input array is valid.
window_size (int) – The window size to use.
shift (int) – The shift to use. Default is 1.
References
Methods
__init__(input_is_chunked[, is_output, ...])