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CwGet v2.55 is a software application for amateur radio operators designed to decode Morse code (CW) signals into text using a standard computer sound card, eliminating the need for specialized hardware. The program features a customizable interface with a spectrum display for visualizing signal frequencies and peaks, an oscillogram for monitoring signal presence and setting detection thresholds, and a received symbols window for displaying decoded text. Key functionalities include Automatic Frequency Control (AFC) to lock onto signals, adjustable FIR and IIR filters for noise reduction, and a burst filter to mitigate short noise impulses. It also supports automatic CW speed detection, multiple character sets, and the ability to record and replay received audio. Integration with logging software like AALog is facilitated through double-click word transfer, and transceiver frequency control is possible via the Omni-Rig interface, allowing for automatic tuning of the radio's VFO or RIT. The multi-channel decoder feature can simultaneously decode up to five strong signals within a 1600 Hz bandwidth, displayed in a separate Multi-RX Window with an adjustable squelch. CwGet also offers the capability to decode signals from pre-recorded WAVE files and can function as a narrow-band sound DSP filter for aural decoding. This is a commercial version and it has been tested on latest MS Winows versions.

CW Decoder provides a robust solution for amateur radio operators aiming to decode Morse code directly on their computer. The software processes incoming audio, presenting the decoded CW as text on the screen, which can be particularly useful during crowded band conditions or for those refining their copying skills. Additionally, it offers the capability to generate a sidetone, allowing operators to monitor the decoded audio in real-time. The application features a **spectrum display** of the audio input, complete with a sliding cursor. This visual aid enables precise selection of a specific audio frequency for decoding, helping to isolate desired signals from QRM. My field experience with similar decoders confirms that a clear visual representation of the signal greatly improves decoding accuracy, especially when dealing with weak signals or multiple stations. Beyond decoding, the program integrates a **keying function**, allowing users to transmit CW directly from their keyboard. This feature supports full CW break-in operation, which is essential for efficient contesting and DXing, providing immediate switching between transmit and receive modes without manual intervention.

MRP40, a successor to the well-regarded MRP37, offers robust Morse code decoding capabilities by processing analog audio signals via a sound card and displaying the decoded text on a computer monitor. My own field tests with similar sound card decoders confirm that the quality of the audio input and proper signal conditioning are paramount for achieving reliable decoding, especially with _weak signals_. The program also facilitates CW transmission, converting keyboard input into Morse code to key a transceiver, a feature I've found useful for practicing sending or for quick contest exchanges. Beyond its core CW functions, MRP40 incorporates a convenient mini-logbook, which automatically checks for prior contacts and allows for quick logging by double-clicking callsigns in the receive window. This integration streamlines the logging process, a significant advantage during busy operating sessions where every second counts. The software also generates Morse tones using the sound card, a handy utility for testing tone sequences or for basic code practice. Additionally, the suite includes a DTMF decoder and generator, which can be used for decoding telephone dial tones or data transmissions over amateur radio frequencies. It also features MF-TeleType, a sound card-based audio data modem for transmitting text via radio, utilizing a principle similar to DTMF for encoding and decoding, offering a simple method for digital text communication.

CW Skimmer 2.1 employs a high-sensitivity CW decoding algorithm based on Bayesian statistics, enabling simultaneous decoding of up to 700 CW signals within a receiver's passband on a 3-GHz P4 system when paired with a wideband receiver. The software features a fast waterfall display with sufficient resolution for visual Morse Code interpretation, automatically extracting and labeling callsigns on the waterfall traces. Extracted callsigns are exported as DX cluster spots via an integrated Telnet cluster server. The application includes a DSP processor with a noise blanker, AGC, and a variable-bandwidth CW filter, alongside an I/Q Recorder and player. It supports both 3 kHz radio passbands and wideband SDR receivers like SoftRock, RF Space SDR-IQ/SDR-14, SRL QuickSilver (QS1R), HPSDR Mercury, and Microtelecom Perseus. System requirements specify Windows XP/7/8/10 (32-bit or 64-bit), a Pentium-4 2.5 GHz for wideband operation or 1 GHz for 3-kHz radios, a COM port for CAT control, and a stereo sound card supporting 48 kHz sampling. It integrates with Elecraft KX3, Icom IC-7300/IC-7610, and Flex 6000 series radios, with documentation available for various setup configurations.

CWLab02 demonstrates a Windows-based software solution for Morse code enthusiasts, enabling both CW and CCW (Computer-Generated CW) sending and receiving within a single, integrated window. The program incorporates an improved CW interface, aiming to simplify the process of decoding and generating Morse code signals. It provides a straightforward method for hams to practice their CW skills or integrate computer-generated code into their operations, supporting real-time interaction with Morse code transmissions. The software's design focuses on ease of use for CCW operations, allowing operators to quickly generate and transmit code. While specific technical details on its decoding algorithms or WPM range are not provided, the emphasis on an "improved CW" suggests refinements in its signal processing capabilities. The ability to send and receive in the same window streamlines the user experience, offering a practical tool for training, casual QSOs, or integrating into a digital shack setup.

Demonstrates an online **CW** audio decoder tool, currently under active development, designed for analyzing and decoding Morse code. Users can upload audio files containing Morse code or record live audio input via a microphone, with processing handled entirely in JavaScript using the Web Audio API. The software analyzes the audio, attempting to determine the pitch and speed, and then decodes the message, providing options to compare the decoded output against a predefined message or a perfectly timed version. The interface allows for setting optional comparison messages, character speed in WPM, and Farnsworth speed. It also features interactive charts for visualizing the audio analysis, where users can zoom with the mouse wheel and pan by dragging. Specific buttons highlight different element types such as intra-character space, inter-character space, extra elements, missing elements, and replaced elements, aiding in detailed signal analysis. Built-in test files are available for immediate analysis, allowing users to quickly evaluate the decoder's performance. The tool is noted to work with specific browsers and is presented as a testing platform for user feedback, indicating ongoing refinement of its decoding algorithms and user interface.

HotPaw MorseDecoder, an iOS application, provides real-time translation of Morse Code audio signals into plain text, leveraging the device's microphone or headset input. It incorporates a DSP narrow-band audio filter, adjustable from 300 to 2400 Hz, to mitigate background noise and QRM, enhancing signal clarity for decoding. The application offers both an automatic decoding mode and manual controls for fine-tuning parameters such as audio filter frequency, WPM dot/dash speed, noise threshold, and Farnsworth timing. The WPM detection automatically adapts from 8 to 40 WPM, with a QRQ High Speed mode extending this range to 30-80 WPM for faster code. A built-in spectrogram aids in identifying the precise audio frequency of the CW tones. User feedback indicates effective performance with various transceivers like the Yaesu FT-857 and Icom IC-R8600, particularly when manual settings are optimized. The app's ability to visually tune stations within the passband and decode speeds beyond an operator's manual capability has proven beneficial during contests and general QRP operation.

RSCW demonstrates a Linux/Unix command-line utility engineered for **Morse code** decoding via a computer's sound card. It specifically targets the extraction of weak CW signals from noise, operating on 8-bit, 8000 samples/second audio input, typically from `/dev/dsp`. The program outputs decoded characters to `stdout`, supporting user-specified speeds in words per minute (WPM) and carrier frequencies. While effective for machine-sent signals, it exhibits a 2-second decoding lag and requires manual speed input, making it less suitable for general-purpose, real-time contest operation. The resource details the program's components, including `rscw` (the main decoder), `rscwx` (an X11 graphical auxiliary for spectrum and internal signal visualization), `rs12tlmdec` (a specialized decoder for RS-12 amateur radio satellite telemetry), and `noisycw` (a utility for generating noisy Morse signals for testing). Installation instructions involve downloading a `.tgz` file, compiling with `Make`, and requiring the FFTW library (and GTK 2.0 for `rscwx`). Performance is illustrated with a .wav file example of a 12 WPM, 800 Hz CW signal at 12 dB Eb/N0, showcasing RSCW's near-error-free decoding of a test message. The site provides command-line examples utilizing `sox` for audio conversion and `noisycw` for signal generation, inviting comparisons with other decoding software and human operators, particularly for weak signal conditions.

The CW Decoder program facilitates copying Morse code with a computer, displaying decoded CW as text, and generating a sidetone. It incorporates a spectrum display of the audio, allowing operators to select a specific audio frequency for decoding via a sliding cursor. This utility also enables keyboard-based transmitter keying, supporting full CW break-in operation for efficient QSO management. Developed by WD6CNF, the software is a Windows-compatible application designed to assist amateur radio operators in their CW activities. Its features cater to both decoding received signals and transmitting via keyboard input, streamlining the CW operating experience. Functionality includes real-time audio analysis and signal processing, providing a visual representation of the CW signal. The program's integrated keying capability offers a direct interface for transmitting, enhancing its utility as a comprehensive CW station tool.

CWRX, a freeware Windows application, decodes Morse code (CW) signals directly from a sound card's audio input, presenting the decoded text on screen. It supports various receive bandwidths and filtering options, allowing operators to optimize signal reception in different QRM conditions. The program's core functionality focuses on robust CW decoding algorithms, crucial for weak signal work and contesting environments. Developed by OZ1IVA, Lars Harbo, this utility provides a straightforward interface for real-time CW interpretation. It integrates basic logging capabilities, enabling users to record decoded transmissions for later review or contest submission. The software is specifically tailored for the Windows operating system, ensuring compatibility with common shack computer setups. Its design emphasizes ease of use for amateur radio operators seeking a dedicated CW decoding solution. The program's small footprint and direct functionality make it a practical tool for both casual listening and more intensive operating sessions, without requiring extensive system resources.

Demonstrates the capabilities of CW_Shark, a dedicated 32-bit Windows application for Morse code operations. This software facilitates the analysis, decoding, and encoding of CW signals, providing hams with a versatile tool for various aspects of amateur radio communication. It supports four distinct modes: Decode Only, Keyboard QSO, Straight or Paddle Key QSO, and Straight or Paddle Key Practice, catering to different user needs from passive listening to active keying. Operators can utilize the Decode Only mode for signal analysis, while the Keyboard QSO mode allows for text-based interaction. The Straight or Paddle Key QSO mode offers a direct interface for traditional keying, enabling real-time communication. For skill development, the Straight or Paddle Key Practice mode provides a structured environment to hone Morse code proficiency. CW_Shark integrates essential functions for CW enthusiasts, supporting both learning and active participation in Morse code exchanges. Its focused design aims to assist operators in mastering and enjoying the art of _CW communication_.

The HotPaw Morse Code Decoder application for macOS processes audio input to transcribe Morse code characters into text. It presents both an audio spectrum graph and a tone amplitude graph, which aid in configuring a narrow band audio filter. Operators can set the audio filter for tone frequencies between 400 and 1600 Hz, optimizing reception for various CW signals. The software offers user-configurable settings, including WPM dot/dash speed detection, a noise threshold level, and the option to use Farnsworth timing for inter-character spacing. The Morse code WPM detection automatically adapts from approximately 8 to 40 WPM, with a lock feature for the estimated speed. A High Speed WPM Mode is available for code speeds ranging from 40 to 80 WPM, catering to faster CW operators. The application's decoding performance is influenced by signal level, signal-to-noise ratio, frequency and WPM stability, keying quality, and proper configuration, with an initial learning phase required for WPM estimation to stabilize. An external microphone or line-in may be necessary for optimal performance on some MacBook models to mitigate fan noise or room reverberations. Version 1.4.4, updated on November 11, 2021, includes compatibility improvements for newer macOS releases. The developer, Ronald Nicholson of HotPaw Productions, does not collect any user data from the application.

Decoding multiple Morse code signals automatically on a noisy RF band

MorseExpert 1.15 decodes Morse Code audio to text, leveraging algorithms from CW Skimmer for optimal performance on weak, fading signals amidst interference on amateur radio bands. It processes audio from the device's built-in microphone or an external radio receiver via cable, optionally highlighting Ham callsigns and keywords. The application features a waterfall display with a bandwidth of 200-1200 Hz, decodes frequencies between 300-1100 Hz, and supports keying speeds from 12-45 WPM with automatic CW pitch detection. Recent updates include support for Android 15, edge-to-edge mode, improved stability, and a pause decoding button. A premium version offers an ad-free experience and user-selected text colors. Users can switch between General Text mode and Ham Radio QSO mode, which enhances word segmentation and highlights callsigns. The app also includes a frequency lock mode, text selection capabilities for copying, sharing, or saving decoded text, and provides guidance on reducing acoustic echo and constructing an audio attenuator for optimal radio interfacing.

KComm, a logging and communication program, was specifically engineered for Elecraft K2, K3, and KX3 transceivers, leveraging the Lazarus cross-platform development tool. It operates natively on Windows XP and can be compiled for Linux, with potential for macOS, prioritizing low resource usage for casual DXers and contest participants. The software integrates with external applications like Fldigi for diverse digital modes and CW Skimmer for advanced Morse decoding, enhancing its functionality beyond basic logging. The design philosophy of KComm emphasizes utilizing the physical radio controls for operational adjustments, rather than replacing the transceiver's front panel. It facilitates keyboard CW operation via the Elecraft serial protocol and capitalizes on the K3 and KX3's built-in decoders for RTTY and PSK31. Additionally, KComm supports PSK31, PSK63, and PSK125 through the AE4JY PSK Core DLL on Windows and integrates with PSKReporter.info for spotting. While not a dedicated contest logging or award tracking program, KComm supports ADIF and Cabrillo export for casual use, allowing logs to be imported into other software. The author, G4ILO, ceased all software development, providing KComm "as is" without further support or updates; however, the source code is available under the GNU GPL for community continuation.

The online Morse code translator and decoder provides functionality for converting plain text into Morse code and decoding Morse code back into text. Users can input text directly into a designated box for translation to Morse, with the tool ignoring characters that lack a Morse equivalent. Conversely, Morse code can be entered using periods for dots and minus signs for dashes, requiring a single space to separate letters and a forward slash to delineate words. The interface also supports direct Morse input via a button, where a half-second pause separates letters and a 1.5-second pause separates words. The resource details the historical context of Morse code, noting its invention by _Samuel F.B. Morse_ in the 1830s for telegraphy, and its continued use by amateur radio operators for recreational purposes and emergency signaling, such as the **SOS distress signal**. Guidance on learning Morse code suggests using online translators for practice and listening to amateur radio transmissions. The tool offers an audio playback feature for translated Morse, allowing users to hear the code at various words per minute (WPM) settings. It also includes a visual chart to aid in memorizing the dot and dash sequences for the alphabet.

An online morse code trainer application that allows to select the digits and play them at the wpm speed you desire. While decoding will evaluate the results and will indicate your proficiency level

Two easy to build microcontroller projects for machine recognition of hand-sent morse code

This online web application allows you to train the decoding of Morse code by copying random QSO sentences that can be looped or even mixed.

The morsecodeworld.org web application provides an online Morse code decoder and encoder, facilitating real-time conversion between text and International Morse code. It supports adjustable transmission speed (Words Per Minute), sidetone frequency pitch (Hz), and output volume, allowing users to customize their learning and practice environment. The tool includes a quick reference chart for the Morse alphabet and focuses exclusively on International Morse, aligning with contemporary amateur radio licensing and on-air practices, distinguishing it from historical American Morse code. This web-based utility enables users to type text for encoding into Morse audio or paste Morse code for decoding into plain text, offering immediate feedback on timing and character spacing. It supports both visual and auditory learning by providing adjustable parameters for speed and tone. The platform is designed for self-assessment, encouraging users to practice copying and sending, and to identify and correct common errors in character recognition and timing.

One primary function of this online utility is to convert plain text into _Morse code_, presenting the output in either a visual dit-dah sequence or as a downloadable MIDI file for auditory practice. The tool also provides the reverse capability, allowing operators to input Morse code and receive a decoded text translation. This bidirectional functionality supports both encoding messages for transmission practice and decoding received signals for improved copy. Operators can utilize the web interface for quick translations, making it accessible without software installation. The resource focuses on the fundamental aspects of CW communication, aiding in both learning and practical application of the code. Its design emphasizes simplicity and direct utility for amateur radio enthusiasts working with CW.

The Morse Code Translator allows anyone to easily convert text into Morse code and vice versa. Simply enter the text to translate or Morse code to decode. This tool is useful for amateur radio operators, scouts, educators, or anyone interested in learning Morse code for educational, professional, or recreational purposes. Discover hidden messages, learn the Morse code alphabet, and practice decoding signals. The tool offers advanced options like adjusting frequency, words per minute, characters, and spacing. Experience Morse code visually with the light translator. Explore the history and uses of Morse code, from military and emergency communications to fun secret messages among friends.

This document outlines various miniature projects undertaken by Mike Markowski to enhance his skills in GNU Radio. Key projects include an FM stereo receiver and an AM radio receiver, featuring advanced functionalities like pilot tone recovery and RDS integration. Additional experiments involve generating Gaussian noise, chirp signals, and Morse code decoding, emphasizing hands-on learning and customization in GNU Radio. The author encourages feedback and shares flow graphs and Python code for each project, aiming to foster community engagement and knowledge sharing.

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.

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.