Hydroacoustic data analysis library for Python with support for EK60 echo sounder data in RAW format.
Acoustic data from scientific echo sounders is typically processed using proprietary, interactive, graphical software. I wanted tools that were more suited to automated, unsupervised operation. I also believe that transparent, repeatable research requires accessible, open tools.
This library aims to leverage libraries such as NumPy and the wider Python Scientific computing ecosystem to provide high quality data analysis tools for hydroacousticians.
Warning, this software is under active development and should be considered as alpha quality only. Naming and functionality are still changing. Accuracy is not guaranteed. Backwards compatibility between versions is not guaranteed.
Feedback, comments and pull requests appreciated.
Echonix requires a functioning Python 3 distribution and should work on Windows, Mac OS X or Linux.
The Anaconda Python 3 distribution is recommended and includes the Spyder integrated development environment which newcomers should find easy to use and not unlike MATLAB.
Download Echonix and install in a suitable directory on your system. Ensure that the Echonix top level directory is in your path (For Spyder, goto Tools -> PYTHONPATH manager).
If you intend working on Echonix and submitting patches then you probably want to clone the the git repo and install it like this:
git clone https://github.com/RobBlackwell/echonix.git
cd echonix
pip install -e .See the demonstration Jupyter notebook and example scripts in the examples directory.
398126A_WBAT Reference Manual.pdf,
http://www.simrad.net/ek80_ref_english/default.htm,
MacLennan, David, and E. John Simmonds. Fisheries acoustics. Vol. 5. Springer Science & Business Media, 2013.