![]() Optional PTT outputs with configurable lead, tail, and hang times.Logging and Contest Program Interfacing via K1EL Winkey 1.0 and 2.0 interface protocol emulation.USB or PS2 Keyboard Interface for CW keyboard operation without a computer.Programming and interfacing via USB port (“command line interface”).Up to six selectable transmitter keying lines.There should not be any special configuration required to make the Mega work with this firmware. From what Anthony told me, all I need to do is uncomment the FEATURE_ lines that I want and recompile to the Arduino Mega. ![]() This gives a list of available features and options that you can add or remove from the firmware depending on your needs and or space available. The features, which are available through the king_keyer application firmware, are located within the file called keyer_features_and_options.h. Below will show what I am doing and what I am using to make this project work with my hardware. This is an awesome thing to play with and well worth it once complete. According to his web site, located at here are the capabilities that are in place at this time. To help myself learn CW and jump in with both feet, I am going to be building a copy of the K3NG CW keyer which has a lot of capability to work with. If it wasn’t for the software, this may have never gotten done. □ -=-=-=-įirst off, I want to thank Anthony (K3NG) for the hard work in the software for this project. Now, off of my soapbox and on to the project at hand. Lately, the sun has been very upset and the radio conditions on HF have been less than perfect. It challenges your mind and hand coordination and will always remain as a reliable means of communicating with other hams and even during emergencies, with other agencies on HF. Since the requirement to pass the CW portion of the test was removed by the ARRL years ago, which I feel should not have happened, it made it easier for more and more people to get into the hobby. Because I have lost some of the characters, I need to practice to get proficient again. I find myself send in my head occasionally, lol… I do feel bad for not pursuing the CW part of the hobby because I have missed out on some nice contacts and contests. You need to keep using it in order to stay proficient but you don’t really lose it all. ![]() This was not due to lack of interest, from what I can tell, but lack of time. I passed the test 1st time out because of the work that he put in.Įver since I got licensed after passing the 5 words per minutes code requirement, I did not touch it again. A local ham who is SK now bent over backwards to help me learn morse code by sending to me over the air and allowing me to use tapes that he had to practice copying. I was always told it is better to try and practice at 13 word per minute as you can pick it up better with the right spacing but I never made it that far. To upgrade to General, you had to learn 13 words per minute and to upgrade to the Extra Class, you had to learn 20 words per minute. The tone decoder from the Danish ham uses Goertzel.In order to get my first license (Technician Plus) with HF privileges, I had to learn morse code at a level of 5 words per minute. This does a very efficient and lightweight signal analysis for a single frequency or tone. Fortunately, there is something called the Goertzel algorithm. Unfortunately, the Fourier transform requires lots of computing power. Transform the audio and check the location for that tone in the frequency domain. Say you want to detect a tone which has a frequency of 500 Hz or cycles per second. The frequency domain is the best view for detecting Morse code tones. The good news is that there are many published libraries of code that do the job for you. The bad news about the Fourier transform is that the math is way beyond most people. The math is called a transformation, in particular the Fourier transform. The Fourier transform decomposes a function of time (a signal) into the frequencies that make it up, in a way similar to how a musical chord can be expressed as the amplitude (or loudness) of its constituent notes. To move back and forth between time and frequency domains, you use math for signal analysis.
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