Morster vs Morse Decoder AI

Morster is the ultimate morse code tool for iOS devices. Morster can interpret morse code that is created using the key, light from the camera or sounds from the microphone. Playback morse code with configurable sound or lighting effects. Morster is rich with features for learning morse code. Feature List: Graphical Interactive Morse Key Includes short circuit lever Translate Mode - Translate text to and from morse code Morse Code reference, several forms of morse code reference Prosign Ready - Recognize or reference prosign codes QCode Ready - Recognize or reference QCodes Dichotomic View - Morse code relationship chart, great for learning Sticky Note - Display a list of morse code sequences for reference Playback morse code once or in a loop Visual Morse Decoder - Use the camera(s) to analyze morse code signals Audio Morse Decoder - Use the microphone to analyze morse code signals Visual Morse Communication Using screen effect or camera flash Notepad to display morse code Invert morse key function Game Center Ready - Morse with friends! Wifi / Blue Tooth - Morse with friends over Blue Tooth or local wifi network Configurable audio tone In depth help file included Visual Morse Decoder Morster can use the live camera feed to decipher morse code that is being signaled with light. The light source could be coming from a light, mirror or another version of Morster. Use the view finder to focus on the light source, adjust the sensitivity and the morse code will be translated and displayed in the notepad. This feature is only available on devices that have a camera and running iOS 4 or later. Speed tests using an iPhone 4 to signal an iPad 2, both running iOS 5, demonstrate decoding speeds upwards of 30 WPM. Audio Morse Decoder Morster can use the live audio feed to decipher morse code that is being generated using sound. The amplitude of the sound is used to trigger the morse key. When the sound is below the threshold, the key is released. The sound can be any sound, but must have a distinct beginning and end. Currently, Morster does not decipher morse code taps, where there is only the beginning of the signal and not the end. Speed tests using iPhone 4 to signal iPad 2, both running iOS 5, demonstrate decoding speeds upwards of 13 WPM. For faster decoding of morse code, we suggest professional hardware. This feature is processor intensive and performance will vary between devices. Morse Decoding Morster will analyze the speed that morse code is keyed and automatically adjust to interpret the code. This allows for slight variances in speed that will still be properly analyzed. Visual Morse Feature Devices that have a camera flash can use it to signal with morse code. When enabled pressing the morse key will also turn on the flash. When morse code is played back, the camera flash will be used in conjunction with the tone. A Visual Morse screen can be configured to use the screen to signal with morse code. The visual feature can use an image of a light bulb or a color. The shape can be circular or rectangular. Shutters can be used, with a modifiable shutter count and speed. This feature is only activated for morse playback. On supported devices, it is possible to use either feature or both at the same time. Translate Mode It is possible to enter text into the notepad and then convert it to morse code. It is also possible to use the morse code keyboard and enter morse code that can be translated to characters. Morse Code / Prosign / QCode / Dichotomomic View A list of morse code characters is provided in list form or as a sticky near the morse key. A list of Prosigns and QCodes are included. These are sequences of letters that have special meaning in different morse code applications. For example SOS = ...---... = Distress Message. A dichotomic view of morse code shows the relationship between characters of the alphabet.

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.