tonic.functional.time_jitter#

Module Contents#

Functions#

time_jitter_numpy(events[, std, clip_negative, ...])

Changes timestamp for each event by drawing samples from a Gaussian distribution and adding
tonic.functional.time_jitter.time_jitter_numpy(events: numpy.ndarray, std: float = 1, clip_negative: bool = False, sort_timestamps: bool = False)[source]#

Changes timestamp for each event by drawing samples from a Gaussian distribution and adding them to each timestamp.

Parameters:

  • events (numpy.ndarray) – ndarray of shape [num_events, num_event_channels]

  • std (float) – the standard deviation of the time jitter

  • clip_negative (bool) – drops events that have negative timestamps

  • sort_timestamps (bool) – sort the events by timestamps after jittering

Returns:

temporally jittered set of events.