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QuantileStandardization

Standardize data by converting into quantiles relative to a sliding window.

If data were perfectly Gaussian-distributed, a similar result could be achieved by z-scoring the data in a rectangular sliding window and then applying a sigmoid transform with a slope that is tuned to yield an approximately uniform output distribution. This node can also be used in offline mode in which case the entire packet is used for standardization. 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

window_len

Window length (in seconds) for robustly tracking the signal drift. Use 0 to standardize against the entire packet (for offline use only).

  • verbose name: Window Length
  • default value: 1
  • port type: FloatPort
  • value type: float (can be None)

axis

Axis to standardize over. Instance can only be used in offline mode (requires window length=0).

  • verbose name: Axis To Standardize Over
  • default value: time
  • port type: ComboPort
  • value type: str (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)