MAVFilter#
- class myoverse.datasets.filters.temporal.MAVFilter(input_is_chunked, is_output=False, name=None, run_checks=True, *, window_size, shift=1)[source]#
Filter that computes the mean absolute value [1] of the input array.
Mean absolute value is the average of the absolute values of the input array. It is a measure of the average magnitude of the signal.
\[\text{MAV} = \frac{1}{N} \sum_{i=1}^{N} |x_i|\]- Parameters:
input_is_chunked (bool) – Whether the input is chunked or not.
is_output (bool) – Whether the filter is an output filter. If True, the resulting signal will be outputted by and dataset pipeline.
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, ...])