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The project details the construction of a small, portable **CW decoder** built around an Arduino Nano and an LM567 tone decoder circuit. It integrates an OLED display for output and is powered by a 1200 mAh Li-Po battery. The Arduino Nano is programmed with a modified version of the OST Morse Box firmware, originally based on Budd, WB7FHC's work, provided as a HEX file for flashing. The LM567 output connects to Arduino pin D2, while pins A6 and A7 are grounded due to the absence of potentiometers, simplifying the circuit. Standard I2C connections are used for the OLED: SDA to A4 and SCL to A5. The entire assembly, including the Arduino, OLED, and decoder circuit, is mounted on a perfboard to fit precisely within an old cassette tape box. This design emphasizes portability and compact form factor. Parameters for the decoder can be adjusted using a dedicated Windows Control program, offering flexibility in operation. The resource provides practical insights into adapting existing firmware for specific hardware constraints and achieving a self-contained, battery-powered **Morse code** decoding solution.

SWLTools, an iOS application for iPhone and iPad running iOS 17+, provides real-time decoding of various digital modes. It automatically locks onto CW tones, measures sending speed, and collects callsigns, distinguishing valid entries from misreads for a reliable log. For RTTY and SITOR-B, the app allows users to set shift and speed, then automatically tunes to the two tones for text reception, supporting marine bulletins, press agencies, and NAVTEX. The application also decodes WEFAX, building charts line by line for direct saving to the photo library, and processes ACARS aircraft messages, including CRC checks for data integrity and mapping of position reports. Beyond decoding, SWLTools integrates a GPU-accelerated FFT spectrum analyzer, a scrolling waterfall display with frequency cursors, and an adjustable FIR bandpass filter to isolate signals. It supports IQ signal analysis from receivers via two-channel audio interfaces, correcting mirror images. Flexible audio input options include the built-in microphone, USB audio dongles, and Bluetooth sources, with diagnostics for audio routing and buffer status. The app records audio, plays it back, and converts recordings into shareable videos, while decoded texts and charts are also savable and shareable, with all timestamps in UTC.

This is a basic Arduino project for decoding Morse code. This is an Arduino program that decodes Morse code from an I/O pin and display in to an LCD screen

Decoding Morse code from visual sources like screenshots, scanned documents, or photographs presents unique challenges compared to audio-based reception. This web-based utility addresses these by allowing users to upload or paste images containing Morse code, which is then processed entirely within the user's browser, ensuring privacy. The tool identifies individual marks, classifying them as dots or dashes, and estimates letter and word spacing to generate an editable Morse draft. Users can refine the detection by utilizing controls for cropping, rotation, contrast boosting, and manual threshold adjustment, which are crucial for overcoming issues like low contrast, skewed baselines, or extraneous graphics. After the initial detection, the generated Morse draft, such as _... --- ... / .... . .-.. .--?_, can be manually corrected before being translated into plain text. The system provides confidence indicators and warnings to highlight potential ambiguities in the decoded output, prompting users to review and make necessary edits. This specialized approach differs from general OCR engines by focusing on the distinct patterns of Morse marks and gaps, rather than attempting to read standard alphanumeric characters. The tool supports common image formats like PNG, JPG, JPEG, and WebP, and includes sample images for benchmarking its performance, demonstrating its capability to handle various image qualities and complexities.

The project aims to create a remote control system for the VK5RSE beacons located near Millicent, South Australia. The beacons on 144.550, 432.550, and 1296.550 MHz can interfere with nearby amateur radio operations, particularly for EME work on 1296 MHz. The remote control system uses a DTMF decoder and PIC microcontroller to allow turning the beacons on and off individually or in combination. The system is housed in a diecast box and powered from 5-8V. The password-protected control allows authorized users to manage the beacon operations remotely, helping mitigate interference issues for local amateurs.

QTC-CrossCheck 1.5.0 is a free offline Windows tool for reviewing WAEDC CW QTC traffic. It analyzes QTC groups from local WAV recordings and supports comparison with UCXLog QTC data. Integrated audio playback helps verify individual QTC rows and resolve discrepancies. The portable application requires no installation or internet connection. Download the Windows ZIP archive and extract it fully before running QTC-CrossCheck.exe. A SHA-256 checksum is provided for download verification.