![]() ![]() I was an Electronic Design Enginner is the days of Z80s and 6502s etc, but way back then PCB design was 2 sheets of polyester film, transfers and black crepe tape for tracks. The transmitter now uses continuous PWM to output the Morse 'audio' tones, so a single delay parameter (the dit length) controls the Morse rate and already slows down to 15WPM for humans, and leaves 60WPM for psuedo telemetry decoded by a PICAXE. You can decode Morse through souncard software on a Netbook, but who want to carry a netbook around all the time ? However not everyone can read Morse, and I thought it would also be handy to get a running display of how high and how far away my planes were in flight, hence the portable decoder. I believed that Morse would by far offer the greatest search range, useful if your looking for someting lost, and this appears to be the case, data telemetry is very poor in comparison. The primary intention was always to transmit the GPS info as Morse numbers at about 15WPM, as this did not require any additional equipment to receive apart from an ear and a cheap UHF tranciever. Translate Morse Code or CW audio to text.This is all tied up with a Lost Model Locator I built that puts out GPS information. The Morse Code Decoder includes a built-in spectrogram to help determine the audio frequency of the Morse Code tones.ĭecoding parameters that can be manually adjusted include the audio frequency of an optional narrow-band DSP filter, the WPM dot/dash speed used for detecting characters, the threshold level of background noise, and whether Farnsworth timing is to be used for detecting spaces between individual characters. You can then use the optional narrow-band audio filter to help filter out background noise. If the audio filter is enabled (frequency lock icon locked), it can be set for frequencies in the range of 400 to 1400 Hz. The filter can also be left off in a wide-band mode (frequency lock icon unlocked). Tap the spectrogram to set the audio filter to the frequency of a selected frequency peak. On the iPhone, tap the lock button to the right of the spectrum graph to toggle the filter off and on. The Morse code WPM (words per minute) detection speed is automatically adaptive from about 8 to 40 WPM, and can be locked to the current estimated WPM dot speed (WPM lock icon locked). One the iPhone, tap the lock button to the right of the waveform graph to lock and unlock automatic WPM detection. You can also manually set the WPM code speed using the plus and minus symbols that appear in the waveform graph, or the slider control on an iPad. There is a QRQ High Speed WPM Mode which will work better for code speeds in the range of 30 to 80 WPM. (QRQ mode also supports higher frequency dot-dash tones.) By default, the threshold (the signal level above any background noise required to detect a dot or dash) is set automatically by the AGC. But you can also manually control the threshold setting. On the iPhone or iPod Touch, tap to the left of the waveform graph to switch the manual threshold slider on and off. The iPad version also includes a switch to enable manual threshold control. A Histogram of the tone signal levels with a marker for the detection threshold level are displayed next to the waveform graph. ![]() ![]() Please use the manual settings if automatic decoding does not adjust to the frequency, WPM or background noise threshold level.In addition to the features of the regular HotPaw Morse Code Decoder, this Pro vesion of the HotPaw Morse Code Decoder also includes a RePlay function, which pauses recording and re-decodes tha previous 1 minute of audio input using the current manual settings. This is useful if you miss some code because the settings (audio frequency, WPM, and level) were not yet set for the signal you desire to decode.This Pro version also includes support for some International alphabet characters.Translate Morse Code or CW audio to text. ![]() The HotPaw Morse Code Decoder takes audio input from the microphone or headset input on your iPhone or iPad, decodes Morse Code, and displays the results in text form. It includes both automatic decoding of longer clean signals and manual controls to allow the decoding of more difficult signals in QRM. ![]()
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