MagicSDR vs Morse Decoder AI

Turn your iPhone or iPad into a real radio receiver. MagicSDR connects you to more than 600 live SDR (software defined radio) servers around the world — tune in to shortwave broadcasts, ham radio and utility stations right away. No antenna, no dongle, no hardware required. WHAT YOU CAN HEAR - International shortwave broadcasters from every continent - Ham radio operators on SSB and CW — contests, DXpeditions, everyday QSOs - Aviation, marine and utility stations - Time signals, beacons and digital modes Pick a receiver close to the signal you want: a server in Japan, Brazil or the Alps is one tap away. Somewhere the bands are always open. HAVE YOUR OWN SDR HARDWARE? MagicSDR also works as a fast native client for your own receivers. The app supports the SoapyRemote protocol, which means it works with any SDR device that has a SoapySDR driver. More supported protocols: - rtl_tcp — stream IQ data from the popular and affordable RTL-SDR dongles - Airspy network — connect to Airspy receivers shared over the network - Hermes-Lite — direct connection to the open-source Hermes-Lite 2 HF transceiver A POWERFUL RECEIVER WITH A TOUCH-FIRST UI - Wideband panadapter and waterfall with smooth pinch-to-zoom and pan gestures - AM, SSB (USB/LSB), CW, NFM and WFM demodulators - Adjustable filter bandwidth and noise-threshold squelch - Frequency bookmarks to collect and organize stations - Band plan overlay, so you always know where you are on the dial - Audio over UDP — feed external decoders such as FT8/WSJT-X or CW - Built-in EiBi shortwave schedule database — instantly see which broadcast station is on the air, in what language and when MADE FOR Ham radio operators, shortwave listeners (SWL), DXers, spectrum analysis — and anyone curious about what is on the air right now. Feedback and feature requests are always welcome — MagicSDR is in active development.

The Morse Decoder AI is an application for decoding Morse code signals using artificial intelligence. The application is designed for use by amateur radio enthusiasts for educational purposes. The Morse decoder listens to the audio stream through the microphone or line input and, upon detecting Morse code signals, decodes them into text. The neural network of the application is trained to decode signals with a speed ranging from 10 to 40 words per minute within a frequency range of 200 Hz to 900 Hz. The application supports two modes of operation: direct (default) and tone filtering mode. In direct mode, the neural network will attempt to decipher Morse code signals in the audio range of 250 Hz to 900 Hz. This mode is suitable for confident reception of Morse code at levels of 7db-9db on the S-meter. The tone filtering mode is ideal for decoding Morse code from noisy weak signals in the presence of radio interference. The audio input signal is first filtered using band-pass filters before being passed to the neural network for decoding. This mode allows for the decoding of faint signals, but it requires the accurate specification of the signal's tone frequency. Each radio amateur selects their own CW tone frequency in the transceiver settings, and it is important to tune precisely to the carrier frequency using the ZIN/SPOT button in YAESU transceivers, or the AUTOTUNE button in ICOM transceivers. There are 3 band-pass filter options available: 25Hz, 50Hz, 150Hz. If you can accurately determine the CW signal tone frequency, using the 25Hz filter, you can decode very faint Morse code signals. The application offers two neural network options: A and B, which can be easily switched in the interface. Network A is recommended for use with stable signal transmission with a constant duration of dots and dashes, while network B is recommended when using a straight key, where the duration of dots and dashes may vary. You have the ability to switch between these networks in real time and observe how each network hears and decodes Morse code. It is important to monitor the level of the incoming audio signal, for which the application provides a sound level indicator. Ensure that the signal is not too quiet or too loud. It is recommended to maintain the signal around -7db, which is sufficient for decoding. Keep in mind that higher audio frequencies are quieter than lower frequencies. Additionally, the application provides various color themes, allowing radio enthusiasts to customize the appearance of the application for comfortable use.