{ "info": { "author": "Mandar Chitre", "author_email": "mandar@arl.nus.edu.sg", "bugtrack_url": null, "classifiers": [], "description": "ARL Python Tools\n================\n\nPackages such as `numpy` and `scipy` provide excellent mathematical tools for\nscientists and engineers using Python. However, these packages are still young\nand evolving, and understandably have some gaps, especially when it comes to\ndomain-specific requirements. The `arlpy` package aims to fill in some of the\ngaps in the areas of underwater acoustics, signal processing, and communication.\nAdditionally, `arlpy` also includes some commonly needed utilities and plotting\nroutines based on `bokeh`.\n\nGeneral modules\n---------------\n\nThe following modules are general and are likely to be of interest to researchers\nand developers working on signal processing, communication and underwater acoustics:\n\n * Signal processing (`arlpy.signal`)\n * Communications (`arlpy.comms`)\n * Beamforming and array processing (`arlpy.bf`)\n * Stable distributions (`arlpy.stable`)\n * Geographical coordinates (`arlpy.geo`)\n * Underwater acoustics (`arlpy.uwa`)\n * Underwater acoustic propagation modeling (`arlpy.uwapm`)\n * Plotting utilities (`arlpy.plot`)\n * Common utilities (`arlpy.utils`)\n\nSpecial-purpose modules\n-----------------------\n\nThe following modules are specific to tools available at the ARL and may not be of\ngeneral interest to others:\n\n * Digital Towed Array (`arlpy.dtla`)\n * ROMANIS (`arlpy.romanis`)\n * HiDAQ (`arlpy.hidaq`)\n * UNET (`arlpy.unet`)\n\nUsage\n-----\n\nInstallation::\n\n pip install arlpy\n\nTo import all general modules::\n\n import arlpy\n\nNotes\n-----\n\nPng export of bokeh plots requires `selenium`, `pillow` and `phantomjs`. 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