Beautifully clear explanation. When I first enountered thei i imagined .. "What if the Audio signal was a pure sign wave But all of a sudden it went into bad clipping so it looked like a square wave - Yup harmonics everywhere - then you feel that into your modulator and what you get is a acurate "square" wave represented by the harmonics ... modulated onto the carrier wave. ... then just take it from there ... Only you used crossover distortion - equally as validlidly ... the wrapped it up with a bow and expalaned how carrier distortion gives you a "signal' at twice the carrier. Nicely put Sir !!!
@@eie_for_you please make some video showing how you make these videos edition on Davinci Resolve. I would like to start to post something in my channel in portuguese. I really want to share the knowledge I have. Thanks
@@anlpereira Yes, DaVinci is a totally awesome program!! Good choice! As I was learning, this guy, Casey Faris, was a God send (www.youtube.com/@CaseyFaris). Also Jason Yadlovski (www.youtube.com/@JasonYadlovski). These will get you past the technical aspects of using DaVinci. You can begin by using a cell phone or simple video camera to record. I have gradually moved up. I record my audio separately and put the video and audio together in DaVinci (it'll do it automatically). Hope this helps. 🙂
Outstanding presentation! Great picture of you in your "Johnny Novice" days! That looked like some great equipment. Vintage by even back then's standards. Take care and 73!
@@eie_for_you Great stuff! 1970 was a great year as that's when my sweetheart was born! They made real radios and real women back then! Ha Ha! Take care.
Well ... actually, this is simply the trigonometric multiplication of the two signals as defined. The output of the Fourier is in the form f(x) (frequency domain) and this is in the form A(t) (amplitude at any time, t, a time domain representation). We could apply the Fourier analysis to it to yield the frequency components from this time domain function, but with the frequency components so obviously represented in the time domain function, to do so might be a fun thing to do, but not very productive. 🙂
😞 Sorry to hear that this is giving you such difficulties. Suffice it to say ... if everything is perfect, there is just the two sideband pips. If something is not perfect ( in other words, not perfectly linear), then there will be more sideband pips. Being that we live in a world with imperfect everything, we have to live with at least some extraneous sideband pips. 🙂
Very well explained and presented. Thanks!
Thank you! I'm glad it "hit that spot". 🙂
Very well presented in a nice succinct fashion. Kudos.
Thank you so much! 🙂
Beautifully clear explanation. When I first enountered thei i imagined .. "What if the Audio signal was a pure sign wave But all of a sudden it went into bad clipping so it looked like a square wave - Yup harmonics everywhere - then you feel that into your modulator and what you get is a acurate "square" wave represented by the harmonics ... modulated onto the carrier wave. ... then just take it from there ... Only you used crossover distortion - equally as validlidly ... the wrapped it up with a bow and expalaned how carrier distortion gives you a "signal' at twice the carrier. Nicely put Sir !!!
Thank you! 🙂
Always in the first line hehehe. Great explanation Ralph.
Thank you! 🙂
@@eie_for_you please make some video showing how you make these videos edition on Davinci Resolve. I would like to start to post something in my channel in portuguese. I really want to share the knowledge I have. Thanks
@@anlpereira Yes, DaVinci is a totally awesome program!! Good choice!
As I was learning, this guy, Casey Faris, was a God send (www.youtube.com/@CaseyFaris). Also Jason Yadlovski (www.youtube.com/@JasonYadlovski).
These will get you past the technical aspects of using DaVinci.
You can begin by using a cell phone or simple video camera to record. I have gradually moved up. I record my audio separately and put the video and audio together in DaVinci (it'll do it automatically).
Hope this helps. 🙂
Outstanding presentation! Great picture of you in your "Johnny Novice" days! That looked like some great equipment. Vintage by even back then's standards. Take care and 73!
Yeah, it was some really OLD stuff when I got it. 5 pin tubes in the transmitter! (the old, trusty 807s).
Thanks, man! 🙂
@@eie_for_you Great stuff! 1970 was a great year as that's when my sweetheart was born! They made real radios and real women back then! Ha Ha! Take care.
@@W1RMD Love it!
Thank you
You are very welcome! 🙂
Very educational Channel
Thanks, man! 🙂
Interesting that the noise floor goes slightly toward the main carrier frequency.
Yes, this is quite interesting. To some extent, this is due to the RBW of the spectrum analyzer ... but maybe there is more to it? 🙂
@@eie_for_you Most likely both the non linearity of the transmitter and the rbw of the spectrum analyser
@@Mamamia12384 That was my theory as well. 🙂
Great explanation
Thanks! 🙂
👍Thank you sir.
You are welcome! 🙂
EXCELLENT PRESENTATION!IS THIS WHAT YOU CALL THE FOURIER SERIES REPRESENTED HERE?
Well ... actually, this is simply the trigonometric multiplication of the two signals as defined. The output of the Fourier is in the form f(x) (frequency domain) and this is in the form A(t) (amplitude at any time, t, a time domain representation).
We could apply the Fourier analysis to it to yield the frequency components from this time domain function, but with the frequency components so obviously represented in the time domain function, to do so might be a fun thing to do, but not very productive. 🙂
I think I've learned something, though I'm not sure :)
That is a good thing ... always learning! 🙂
Oh boy. I’ll never understand.
😞 Sorry to hear that this is giving you such difficulties. Suffice it to say ... if everything is perfect, there is just the two sideband pips. If something is not perfect ( in other words, not perfectly linear), then there will be more sideband pips. Being that we live in a world with imperfect everything, we have to live with at least some extraneous sideband pips. 🙂