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WaveletBuffer
gpr | WaveletBuffer | |
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2 | 3 | |
100 | 12 | |
4.0% | - | |
3.1 | 4.8 | |
7 months ago | 10 months ago | |
C++ | C++ | |
Apache License 2.0 | Mozilla Public License 2.0 |
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gpr
WaveletBuffer
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Wavelet Buffer In A Nutshell
Wavelet Buffer is a core technology for data processing in the PANDA|Drift Platform. It provides the following features:
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Denoising time series data by using wavelet transformation
A popular approach for conditional monitoring of mechanical machines is to embed vibration sensors into a machine and start "listening" to it. The data from the sensors must be stored somewhere. So, the more efficient we compress them, the longer history we can keep. When we deal with sensors we always have noise from them, and when a machine is stopped we have only noise which wastes our storage space. WaveletBuffer was developed to solve this problem by using the wavelet transformation and efficient compression of denoised data. However, a user must know many settings to use it efficiently. In this tutorial, you will learn how to find denoising parameters to get rid of white noise in your data.
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Why we need a new database for Industry 4.0
In this article, I would like to discuss the problem of keeping a history of such diverse data. However, if you are interested in the first two issues, you can have a look at this solution here.
What are some alternatives?
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entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
rawspeed - fast raw decoding library
modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
MLV-App - All in one MLV processing app.
SfCompressor - Sparse Float Compressor
draco - Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
DriftPythonClient - Python Client to access data of Devices on Drift Platform
Reduct Storage - A time series database for storing and managing large amounts of blob data [Moved to: https://github.com/reductstore/reductstore]