SDR vs Morse Decoder AI

Software Defined Radio Client for Icom Transceivers and your iPad SDR-Control is a full featured iPad App to operate your Icom Transceiver at home or from around the world without additional Hard- or Software. Important: This App requires one of the following Icom Transceivers: IC-705, IC-7610, IC-9700, IC-7760 or the IC-R8600 Receiver or the new IC-7300 MK2 FACTS AND FEATURES: ■ Native iOS 26 app, backward compatible to iOS 17 ■ Compatible to any new Silicon M or older CPUs ■ Complete operation of your Icom Transceiver in all modes ■ Use the App local or to remote access of your Transceiver from any place without additional Hard- or Software ■ Dual VFO support (single Waterfall) ■ DualWatch support (Audio from both VFOs at the same time) ■ Logbook with auto logging, ADIF Im-/Export ■ UDP Log submission when using external logging software ■ Integrated full featured FT8 / FT4 Tool ■ Integrated SSTV receiver (NEW) ■ Integrated CW Decoder (NEW) ■ Integrated APRS Tool (NEW) ■ Integrated CW Keyer ■ DX-Cluster integration ■ Spots (from FT8, DX-Cluster) will be displayed in Waterfall ■ Band limits and Band-Modes will be displayed in Waterfall ■ Call sign lookup integrated ■ Displays Calls on Map with heading and distance information ■ MIDI Controller support ■ Keyboard shortcuts ■ And much more... WHAT YOU NEED: - An Icom IC-705, IC-7610, IC-9700, IC-7760 or IC-7300 MK2 Transceiver or IC-R8600 Receiver - The Transceiver needs to be connected to your Network (WiFi or LAN) - No USB cable needed or supported - An iPad that runs at least iOS 17 Find out more here: https://ham-radio-apps.com Read the Manual: http://go-to.me/sdrcontrol-ios-manual

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.