library.properties

name=EWMA
version=1.0.2
author=Arsen Torbarina <jonniezg@gmail.com>
maintainer=Arsen Torbarina <jonniezg@gmail.com>
sentence=Exponentially Weighted Moving Average filter used for smoothing data series readings.
paragraph=Unlike the method with a history buffer that calculates an average of the last N readings, this filter consumes significantly less memory and works faster. Provides an additional EwmaT template that allows restriction to a specific data type, such as uint32_t, to avoiding floating point arithmetics and significantly decrease code footprint.
category=Data Processing
url=https://github.com/jonnieZG/EWMA
architectures=*