xCluster vs Morse Decoder AI

xCluster is a visual display of dx cluster activity built for the iPad. DX spots are received via telnet or web services and displayed in a tabular form and plotted on a map of the world. You can filter the spots by call sign or band. Spots are created using the latitude and longitude of the dx station and spotter. The program has an internal call parsing component to determine the country for each call but can use QRZ.com for more accurate location data. Lookup priority is QRZ.com with the the call parser as a backup. DX spots can be displayed on a map or in a tabular form. Alerts for specific stations, bands or countries may be set and will be highlighted in the list and on the map. A number of major telnet clusters are built in along with DXSummit and PSK Reporter. PSK Reporter will display other stations that can hear your signal. You must be running WSJT-X or FLDIGI and have it configured correctly to work. You may contact the author with questions, suggestions or issues at support@w6op.com Features: Display dx spots on a map and in a list Predefined cluster servers and websites Filter by band and call sign Set alerts for display in the list and on the map Alerts can be set by country, band and call sign Save alerts in iCloud Built in call parser if QRZ.com is unavailable Freeform cluster command input Zoom and pan the map display

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.