This is a tremendously insightful video. A must, in truly understanding lock-in amplification.
@charlesowen63985 жыл бұрын
This is an excellent video. I'm starting a summer cell counting project that uses a lock in amplifier. I don't have specific experience with the circuit yet, so this has been a valuable resource. Thanks.
@sweetmissmira5 жыл бұрын
Good cat analogy!
@KeystoneScience5 жыл бұрын
Great video!
@dallinschannel5 жыл бұрын
Thanks!
@harishvmekali71193 жыл бұрын
Beautiful ... CAT example is so appropriate. I enjoyed the entire video. It's very good.
@viraj__shah5 жыл бұрын
This is a phenomenal explanation. Thank you.
@agstechnicalsupport5 жыл бұрын
Very good video on the principles of lock-in detection.
@stringsam3 жыл бұрын
this is an amazing explanation !
@yiyou65295 жыл бұрын
It is overall a very intuitive video! Thanks! Somehow I feel it is a bit scattered. For instance, the transition from time domain to frequency domain would have gotten me really confused if I didn't know lock in detection before. The "speed up" hint is really thoughtful. But it is not actually due to the length of this video. Instead, I really slowed down when you went through the figures. That would mean some of the contents can really be reduced. Rather, spending some time on the figures would really help the audience to get your logic behind it. Again, thanks for this nice video.
@maqsudshonemati84414 жыл бұрын
Thank you a lot!!
@user-wo7nm3yr2q Жыл бұрын
Great explanation!
@user-YuHaoHuang4 жыл бұрын
THANKS for your concise explanation
@dallinschannel4 жыл бұрын
You are welcome!
@user-zr1ex8hq6c3 жыл бұрын
LockIn Amplifier is a kind of modulation and demodulation for signal detection? Is a kind of Communication theory for signal processing ? Thanks.
@ruwanpremashantha4283 жыл бұрын
Dear sir, Does a Pir sensor, use the locking amplifier concept when working?
@jan8613 жыл бұрын
I didn't really understand where the DC offset A comes from? And isn't R time-dependent, so that we need to time average several times? Is time-averaging the same as low-pass filtering? Sorry if my questions are a bit dumb....
@dallinschannel3 жыл бұрын
The offset A was added because for the example given (detection of light) there is no such thing as a negative signal (you can't have a negative light power). And, yes, time-averaging is essentially the same as low-pass filtering. And, again, yes, R is time dependent. So you want to average over a time long enough to average away noise, but not so long that you average away the time dependent features of R that you want to measure.
@jan8613 жыл бұрын
Really good video, thanks! I have a question at 28:26 : Why does the square wave have so many harmonics and the sine wave has only the fundamental frequency in frequency domain?
@dallinschannel3 жыл бұрын
Good question. In the frequency domain, we are showing how much of different sine waves we have to add together to get the wave. A sine wave is made up of one sine wave - it only takes one sine wave to write a sine wave. But a square wave is not a sine wave, so we have to add a bunch of sine waves to get a square wave.
@jan8613 жыл бұрын
@@dallinschannel Aaaah, nice, thanks, that was even understandable for me! :)
@MR-dc4od5 жыл бұрын
Very small signal amid high noise identified by knowing the shape of the signal - is this what LIGO does to detect a black hole merger? Or at least the principle behind it?
@dallinschannel5 жыл бұрын
I don't know. LIGO uses a bunch of amazing "tricks" to get those signals, but I don't know if there is something akin to lock-in detection going on.
@babotvoj4 жыл бұрын
Probably they use it for interferometer stabilization, I used it for that works amazing