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# pydvma
A Python package for dynamics and vibration measurements and analysis.
## About pydvma
This is a modular library for data-measurement and analysis in the context of dynamics and vibration, for use in student laboratory experiments as well as for research projects, developed at Cambridge University Engineering Department.
A high-level interface allows straightforward application for common use-cases and a low-level interface provides more control when needed.
The aim is for a library that is simple to use and simple to maintain. It is not a full-featured GUI, but when used in conjunction with Jupyter Notebooks it is intended to provide the best of both worlds: interactive tools for common tasks and command line interface for customisation.
## Getting started
### Dependencies
The logger requires Python 3.7 to work with soundcard acquisition.
On Windows:
` conda install pyaudio `
On Mac OS X: install PortAudio. If you use Homebrew, just run this: `shell $ brew install portaudio ` On Linux: TBC
Alternatively you can use the environment yml file provided: ` conda env create -f logger_env.yml activate logger `
### Installing pydvma
Install using: ` pip install pydvma `
Or clone this repository and install using: ` python setup.py install `
To get started, open the file: ` pydvma_template.ipynb `
or within a Jupyter Notebook or Python command line: `python import pydvma as dvma settings = dvma.MySettings() osc = dvma.Oscilloscope(settings) logger = dvma.Logger(settings) `
## Roadmap
At present the library has basic functionality for:
logging data using soundcards or National Instrument DAQs (requires NiDAQmx to be installed from NI, windows only)
logging with pre-trigger for impulse response measurements
logging with pc generated output (soundcard and NIDAQ)
computing frequency domain data
computing transfer function data
computing sonograms/spectrograms
basic modal analysis tools (mode-fitting)
saving and plotting data
export to Matlab
interactive tools for standard acquisition and analysis
oscilloscope view of input signals
The plan is to include the following functionality:
wider support for import/export
more advanced modal analysis tools (e.g. global fitting)
extend the range of hardware that can be accessed from this library
## Contributer guidelines
Contributions to this project are welcomed, keeping in mind the project aims above:
If you find a bug, please report using GitHub’s issue tracker
For bug-fixes and refinements: please feel free to clone the repository, make edits and create a pull request with a clear description of changes made.
If you would like to make a more significant contribution or change, then please be in contact to outline your suggestion.
Please see the documentation for details of the code structure and templates for anticipated applications.
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