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← signal_processing package

ExponentialStandardization

Standardize the given data using an exponentially decaying window.

This filter aims to produce standardized output signals (that is, each channel/feature has approximately mean zero and variance one). This is based on the statistics of the past data, where more recent data is weighted more strongly. The time constant of this exponential weighting is an adjustible parameter. This filter is meant to be run on continuous data. That is, it should not be preceded by a Segmentation node. Version 1.1.0

Ports/Properties

data

Data to process.

  • verbose name: Data
  • default value: None
  • port type: DataPort
  • value type: Packet (can be None)
  • data direction: INOUT

forget_halftime

Time constant of filter, in seconds. Data that lies this many seconds in the past will be weighted half as much as the most recent data when designing the filter, and data twice as old will be weighted by 1/4, etc. Can also be thought of as the half-time of an exponentially weighted filter.

  • verbose name: Adaptive Filter Time Constant
  • default value: 60
  • port type: FloatPort
  • value type: float (can be None)

ignore_nans

If activated the data slices containing nan values are ignored.

  • verbose name: Ignore Data With Nan Values
  • default value: False
  • port type: BoolPort
  • value type: bool (can be None)

across_all_chs

If activated the standardization is performed across all entries in the non-time axes, ie., the mean and standard deviation is calculated over the entire tensor snapshot.

  • verbose name: Standardize Across Entire Tensor
  • default value: False
  • port type: BoolPort
  • value type: bool (can be None)

set_breakpoint

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

  • verbose name: Set Breakpoint (Debug Only)
  • default value: False
  • port type: BoolPort
  • value type: bool (can be None)

metadata

User-definable meta-data associated with the node. Usually reserved for technical purposes.

  • verbose name: Metadata
  • default value: {}
  • port type: DictPort
  • value type: dict (can be None)