![]() ![]() So how does it work? The algorithm assigns weights to the “dits” and “dahs” as received - when there is a longer pause, the algorithm creates a pointer which calls the character out of an array stored in the EEPROM. The Magic Morse algorithm is copyrighted, but he has released the Arduino code as open source in an effort to get people using Morse code once again - it is pretty awesome. ![]() He’s demonstrating the program with a Nokia 5110 LCD, but has also included code for the typical 2×16 LCD displays. It can run on the Uno, Nano, Pro Micro, or even home-brew Arduino boards. When he first wrote it, he designed it for a PIC, but since then he has re-written it to use as a training program for the Arduino platform. Morse code can be transmitted in different ways: originally as electrical pulses along a telegraph wire, but also as an audio tone, a radio signal, light, body language, frequency and more.Magic Morse is a mathematical algorithm that wrote a few years ago to make it easy to send and receive Morse code. Imagine the dot as a unit of time, then the dash is three units of time, the distance between the parts of a letter is a unit of time, the distance between two consecutive letters is three units of time, and the distance between the words is seven units of time.įor instance the word SOS, the worldwide standard for requesting help is … - … in Morse code. Try to write your name in Morse code for practice.Įlectropeak =. –.-.-Īlthough Morse code is not used as much as the past anymore, it still has its own applications. Morse code is still popular among enthusiasts in the field of amateur radios. Morse code is also used in aeronautical navigation systems. Many ships use Morse code to send light for communication or help. Also, those who can not talk for any reason can also use Morse code to express their meaning.Īnd besides all, learning and using Morse code to communicate can be fun and entertaining.Morse code used to be widely used around the globe. Before voice transmissions were possible over radio, Morse code was all the rage. Nowadays, it’s been replaced with more sophisticated technologies that allow us to transmit voice, or data much faster and more efficiently. You don’t even need to know Morse code to get an amateur radio license any more. That doesn’t mean that Morse code is dead, though. There are still plenty of hobbyists out there practicing for the fun of it. decided to take a shortcut and use some modern technology to make it easier to translate Morse code back into readable text. His project log is a good example of the natural progression we all make when we are learning something new. He started out with an Arduino and a simple microphone. 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. The more asterisks, the louder the signal. He calibrated the system so that a quiet room would read zero. He found that while this worked, the Arduino was so fast that it detected very short pulses that the human ear could not detect. 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 ended up just averaging a few samples at a time, which worked out nicely. The next iteration of the software added the ability to detect each legitimate beep from the Morse code signal. The result was a series of long and short chains of asterisks, representing long or short beeps. The third iteration translated these chains into dots and dashes. 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. Now he can rest easy while the Arduino does all of the hard work. 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. I am a ham radio operator who struggles to use Morse code. 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. The reason? They seem to determine the presence or absence of a tone by the volume of the audio received. The ear, on the other hand, determines the presence or absence of tone based on the spectral purity of the signal received. The ear easily hears the difference between a tone and a static crash. It’s a lot more difficult for a computer to do that, if the computer is working strictly on the volume of the audio. 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.
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