BLE Serial Pro vs Morse Decoder AI Uso & Estadísticas

With this serial UART terminal app it is possible to communicate via Bluetooth Low Energy between ESP32, Arduino, Raspberry pi or other PC's equipped with Nordic nRF or Texas Instruments CC2541 MCU’s. ESP32 board and Arduino/Raspberry RP2040, Arduino Nano BLE 33, and Arduino SAMD boards like the MKR1010 have built in BLE MCU’s.
 With this PRO version it is possible to choose between the two BLE protocols . 
 The app transmits and receives strings between the connected BLE device with a large window containing received data and an edit line for typing in strings to transmit.
 Unlike most apps strings over 20 bytes are not truncated making is possible to use descriptive menu's to communicate with the BLE equipped computer. 
The app runs on a Mac mini with M1 processor, iPad or iPhone and connects to the CC2541 and nRF devices.
Tested are: CC2541 chipset: HM-10, JDY-23 nRF chipset: Arduino MKR1010, Arduino Nano 33 IOT, Nano RP2040.
 With this PRO version buttons can be programmed with formats like UTF8 strings, hexadecimal, decimal, octal and binary commands that can be repeated at a give frequency or only once.  The buttons can be arranged on the display.  
Received messages can be exported. Alarms can be programmed on contents of received messages in all kind of formats.
 The display window with received messages has many options to  - display messages five formats (UTF8, Dec, Hex, Octal, Bin)  - font size,  - time stamp,  - auto scroll,  - clear window on new message,  - time stamps.
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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.
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BLE Serial Pro VS.
Morse Decoder AI

14iciembre d, 2024