Exponential Moving Average

Table of Contents

• Introduction
• Features Supported
• Features Not Supported
• Benchmark Results
• Provided Examples
• Additional References
• API

Introduction

The emavg can be used to perform exponential moving average calculation.

Features Supported

EMAVG module includes:

• setting of multiplier value for setting weightage of present value.

Features Not Supported

N/A

Benchmark Results

A benchmark on R5F core has been conducted to observe the following results when running the following functions:

EMAVG Function	Cpu Cycles
EMAVG_reset	15
EMAVG_config	15
EMAVG_run	26

• Ran with TI Clang Compiler v3.2.1.LTS, with -Os flag and functions force-inlined onto the benchmarking function placed in TCM memory. Obtained the average result from 500 consecutive loops of running emavg functions with DPL CycleCountP, mimicking the usage of a control loop.
• Actual result may vary depending on provided datasets and memory configuration. For R5F, it is recommended for users to map control loops to TCM for the best performance.

Provided Examples

The following examples has been provided to demonstrate emavg module:

• Exponential moving average Test

Additional References

N/A

API

APIs for Exponential Moving Average Library