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https://github.com/alexandrehiroyuki/movingaverageplus

Moving Average Plus is a C++ library that implements a moving average on the Arduino platform. Performance and usability are the two focuses I thought of when creating this library, so every improvement tip is welcome. It is useful for filtering noisy data from sensors, for example.
https://github.com/alexandrehiroyuki/movingaverageplus

algorithms arduino arduino-library arduino-platform cpp data-processing data-structures filters moving-average pio platformio

Last synced: 3 months ago
JSON representation

Host: GitHub
URL: https://github.com/alexandrehiroyuki/movingaverageplus
Owner: AlexandreHiroyuki
License: mit
Created: 2019-10-05T18:57:29.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2024-04-08T21:33:10.000Z (10 months ago)
Last Synced: 2024-11-07T10:03:09.640Z (3 months ago)
Topics: algorithms, arduino, arduino-library, arduino-platform, cpp, data-processing, data-structures, filters, moving-average, pio, platformio
Language: C++
Homepage: https://alexandrehiroyuki.github.io/MovingAveragePlusDocs/
Size: 159 KB
Stars: 22
Watchers: 3
Forks: 5
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

README

        # Moving Average Plus - C++ Library for Arduino

[![Latest Release](https://img.shields.io/github/v/release/AlexandreHiroyuki/MovingAveragePlus)](https://github.com/AlexandreHiroyuki/MovingAveragePlus/releases)

[![PlatformIO Registry](https://badges.registry.platformio.org/packages/alexandrehiroyuki/library/MovingAveragePlus.svg)](https://registry.platformio.org/libraries/alexandrehiroyuki/MovingAveragePlus)

[![Latest Release Date](https://img.shields.io/github/release-date/AlexandreHiroyuki/MovingAveragePlus)](https://github.com/AlexandreHiroyuki/MovingAveragePlus/releases)

[![Last Commit Date](https://img.shields.io/github/last-commit/AlexandreHiroyuki/MovingAveragePlus)](https://github.com/AlexandreHiroyuki/MovingAveragePlus/commits/master)

[![GitHub Stars](https://img.shields.io/github/stars/AlexandreHiroyuki/MovingAveragePlus?style=flat&color=yellow)](https://github.com/AlexandreHiroyuki/MovingAveragePlus/stargazers)

[![Contributors](https://img.shields.io/github/contributors-anon/AlexandreHiroyuki/MovingAveragePlus)](https://github.com/AlexandreHiroyuki/MovingAveragePlus/graphs/contributors)

[![Top Language](https://img.shields.io/github/languages/top/AlexandreHiroyuki/MovingAveragePlus)](https://github.com/AlexandreHiroyuki/MovingAveragePlus)

## Description

> _Old name: MovingAverage_ArduinoLibrary_

**This library is deprecated. All support is now dedicated to [Data Tome](https://github.com/AlexandreHiroyuki/DataTome)!**

**[Data Tome](https://github.com/AlexandreHiroyuki/DataTome) includes all the features of Moving Average Plus, in addition to many other features, such as better type control, more statistics, and better test coverage.**

**Start coding with [Data Tome](https://github.com/AlexandreHiroyuki/DataTome)!**

> This library is listed in the official [Arduino Library Manager](https://www.arduino.cc/reference/en/libraries/movingaverageplus/), and you can also find it at [Arduino Library List](https://www.arduinolibraries.info/libraries/moving-average-plus).

>

> _—Recommended Platform—_ Now it's possible to install this library on the [PlatformIO Registry](https://registry.platformio.org/libraries/alexandrehiroyuki/MovingAveragePlus)!

>

> Check our **exclusive** feature, the Partials!

>

> _[Click here to read more about the Partials Concept](https://alexandrehiroyuki.github.io/MovingAveragePlusDocs/docs/category/partials)_

## Documentation

This library implements the moving average using a circular array to improve the performance.

> Online Docs: _[Click here to see the full documentation](https://alexandrehiroyuki.github.io/MovingAveragePlusDocs/)_

>

> GitHub Repository: _[The documentation is coded with docusaurus, and you can visit the repository](https://github.com/AlexandreHiroyuki/MovingAveragePlusDocs)_

## Contributing

1. Fork it ()

2. Create your feature branch (`git checkout -b feature/fooBar`)

3. Commit your changes (`git commit -am 'Added something'`)

4. Push to the branch (`git push origin feature/fooBar`)

5. Create a new Pull Request

   > You can find a Pull Request template on 

## Developed by

**Alexandre Hiroyuki** – [GitHub](https://github.com/AlexandreHiroyuki) – [LinkedIn](https://www.linkedin.com/in/alexandre-hiroyuki-yamauchi-7137241a6/)