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        "author": "Michael Hirsch, Ph.D.",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering"
        ],
        "description": ".. image:: https://travis-ci.org/scivision/tincanradar.svg?branch=master\n    :target: https://travis-ci.org/scivision/tincanradar\n    \n.. image:: https://coveralls.io/repos/github/scivision/tincanradar/badge.svg?branch=master\n    :target: https://coveralls.io/github/scivision/tincanradar?branch=master\n\n.. image:: https://api.codeclimate.com/v1/badges/c837e410c41e163d47bd/maintainability\n   :target: https://codeclimate.com/github/scivision/tincanradar/maintainability\n   :alt: Maintainability\n\n=============\nTin Can Radar\n=============\n\nUtilities for designing, building, and using a $35 Tin Can Radar, from the original 2006 prototype\ndesigned and built by Michael Hirsch and advised by Greg Charvat.\n\nI include utilities for designing the Wilkenson power divider used to siphon off a sample\nof the transmit waveform for the homodyne receiver.\n\nI include design equations for using coffee cans for antennas,\nas well as the more broadband Linear Tapered Slot Antenna.\n\nIf you need something more, start an issue or send a message.\n\n.. contents::\n\n\n===========================     ==========================================================\nFunction                            Description\n===========================     ==========================================================\nFS2dBm.py                       Convert field strength in dBuV/m or uV/m to 50 ohm dBm\nToneFinder.py                   Simulate noisy sinusoids from  target returns\nFriis.py                        Compute Free Space Path Loss (dB)\n===========================     ==========================================================\n\nForward Model\n=============\nA forward model of linear/non-linear FMCW chirp is provided in Python using an optional Fortran library for speed.\n\n\nBuild\n=======\n\n* Mac: ``brew install gcc``\n* Linux: ``apt install gfortran``\n* Windows: install `gfortran <https://www.scivision.co/install-latest-gfortran-on-ubuntu/>`_\n\n\n\nInstall\n-------\n::\n\n    pip install -e .\n\n\nMatlab\n======\nOld scripts of some duplicity and perhaps not full correctness are in the matlab directory.\n\nOptional\n========\n\nFortran\n-------\n::\n\n    cd bin\n    cmake ..\n    make",
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        "name": "tincanradar",
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