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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)