David on 3D Model Subscriptions Are Coming, But Who’s Buying?.CRJEEA on Hackaday Prize 2023: Hearing Sirens When Drivers Can’t.on 3D Model Subscriptions Are Coming, But Who’s Buying? It’s a lot harder to outperform an experienced human ear with weak signals on noisy bands, but those tough conditions are precisely where Morse has its biggest advantage over voice. It’s not too hard to build a Morse reader that works well with a strong signal in a low-noise environment. I’m not sure how to make a machine do a good job of that, but I suspect the solution might involve some DSP and FFT work. A key thing the ear picks up is not only the presence of noise of the proper frequency, but the relative absence of noise of other frequencies. It’s a lot more difficult for a computer to do that, if the computer is working strictly on the volume of the audio. The ear easily hears the difference between a tone and a static crash. The ear, on the other hand, determines the presence or absence of tone based on the spectral purity of the signal received. The reason? They seem to determine the presence or absence of a tone by the volume of the audio received. I have used automatic reading devices, but the ones I’ve used don’t work very well on real-world weak signals which have static in the background. I am a ham radio operator who struggles to use Morse code. Posted in Arduino Hacks Tagged amateur radio, arduino, ham, microphone, morse, morse code, radio, speaker, translate Post navigation If you’re wondering why anyone would want to learn Morse code these days, it’s still a very simple way for humans to communicate long distances without the aid of a computer. Now he can rest easy while the Arduino does all of the hard work. This version could also detect longer pauses between words to make things more readable.įinally, added a sort of lookup table to translate the dots and dashes back into ASCII characters. The third iteration translated these chains into dots and dashes. The result was a series of long and short chains of asterisks, representing long or short beeps. The next iteration of the software added the ability to detect each legitimate beep from the Morse code signal. He ended up just averaging a few samples at a time, which worked out nicely. This would throw off his readings and needed to be smoothed out. If you are familiar with button debouncing then you get the idea. He found that while this worked, the Arduino was so fast that it detected very short pulses that the human ear could not detect. He calibrated the system so that a quiet room would read zero. The more asterisks, the louder the signal. He wrote a basic sketch to read the input from the microphone and output the perceived volume over a Serial monitor as a series of asterisks. He started out with an Arduino and a simple microphone. His project log is a good example of the natural progression we all make when we are learning something new. decided to take a shortcut and use some modern technology to make it easier to translate Morse code back into readable text. There are still plenty of hobbyists out there practicing for the fun of it. That doesn’t mean that Morse code is dead, though. You don’t even need to know Morse code to get an amateur radio license any more. Nowadays, it’s been replaced with more sophisticated technologies that allow us to transmit voice, or data much faster and more efficiently. Before voice transmissions were possible over radio, Morse code was all the rage. Morse code used to be widely used around the globe.
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