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How to use AI to identify Radio signals - How to use AI (Artificial Intelligence) to identify Radio signals using a RTL SDR dongle and Linux (Ubuntu). This solution implement a framework using Keras and TensorFlow to learn and recognize the RF signals.
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Skywave Linux - Linux for shortwave and amateur radio monitoring. Supports popular SDR hardware and online streaming from KiwiSDR, WebSDR, and Spyserver sites. Articles about using Linux with your SDR devices.Skywave Linux, an innovative operating system, leverages cutting-edge technology for seamless access to radio signals globally. Ideal for regions with limited internet access, it effortlessly connects to a network of SDR servers, offering high-performance SDR operation without the need for extensive hardware. With pre-installed and configured SDR software, Skywave Linux simplifies signal discovery and operation for all users.
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SWLog - Shortwave and Amateur Radio Log (SWLog) is a modern suite of applications that provide logging and remote control for amateur radio and shortwave, utility, and broadcast listening. SWLog has been continuously improved and expanded since it was first released in 1988. SWLog is a suite of products that provides logging, radio control, GPS synchronization, QSL management, reporting, and propagation prediction. Program schedules from HFCC, ILGRadio, AOKI, ADDX, SWSkeds, EiBi, and others are leveraged for broadcast reception. Call sign lookups and remote logbooks are integrated with ClubLog, eQSL, QRZ, Ham365, HamQTH, and LoTW. SWLog provides Android and iOS applications for logging on the go as well as web servers for logging and remote control from anywhere. SWLog works on Windows, Linux, iOS and Android
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QLog - QLog is a free log book program for Amateur Radio users that works on Linux, Windows, and Mac OS. It's made with the Qt framework and uses SQLite for storing data. QLog tries to keep things easy to use while offering all the features you'd need in a logbook. It's not meant specifically for contests at the moment.
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