Really nice explanation.I was searching practical example of FIR filter, now I got this, without practical impressive example, mathematical model become dry thing, hard to visualise.Thanks lot Dave Gunness
So in laymen terms, in anTradatinaol electronic crossover, *( like MiniDSP,- or - -Pioneer network Mode)* You would use for setting your crossover points for your speaker drivers, *(Tweeter, Woofer)* You are able to set the crossover slopes *(2500-Khz @24dB)* So the Filter that is being applied to the signal *(the 2500-Khz crossover point)* would more accurately represent an analog filter or crossover *(The Box that comes with most speakers for a car)* But is also able to do things that an analog crossover does not typically do such as phase of the singal to the speakers and response in your listening area from your speakers? I think I'm at least 25% correct.
Superb thank you! However is it not unfair to say an IIR filter cannot temporarily correct a speaker resonance? Speaker resonance is mechanical so an opposite mechanical model should cancel the decay too, right?
thank you Dave. I have a question that i suspect you might not have time for. the bo.Xo , 3rd coefficient by the input sample, how it that physically added for the mathematical element, is that fitting ?
I think it's only flipped round visually compared to his previous graph. My understanding is that the coefficients effectively go backwards in time. So, for example, the 10th coefficient is referring to a sample 10 samples earlier. So really it refers to sample number -10 rather than +10 in the future, but coefficients are just numbered that way. But yeah, I think that was the one point where he said something confusing if you didn't already know a bit about FIR filters.
I was taught to memorize these filters and math operations and was never explained the reasons or intuitions behind it. This video is a gem.
I studied for 2 hours before, but in this 12 min video really figured out how a FIR filter works, "without maths". Thanks, nice job.
What an excellent educational resource Dave. Nice job!
Watched it three times. And now I start to actually understand.
Thank you so much.
Same here. It took some time for me to understand that. But now I am getting this.
This was an incredible explanation. Thanks for taking the effort and time to do this video.
I really respect the dedication to the messy desk
Thank you for making this I now think I understand FIR filters so much better so understandable
Really nice explanation.I was searching practical example of FIR filter, now I got this,
without practical impressive example, mathematical model become dry thing, hard to visualise.Thanks lot Dave Gunness
Wow! I never expected from Morgan Freeman to teach me filters
great job on explaining the topic at hand!
immaculate explanation.
This is the right way of explaining… thank you sir
Excellent presentation, thank you.
An amazing explanation. Very well done. Have my like
Great video. Please make more! I see this says "#3". Was there a #1 and #2 or even #4, #5, etc.?
Great stuff! Thanks for the explaination!
Wow, you should be my Professor. Thanks a Lot.!
I appreciate your work
Fantastic, thousand thank you's.
That is a great explanation / thanks !
So in laymen terms, in anTradatinaol electronic crossover, *( like MiniDSP,- or - -Pioneer network Mode)*
You would use for setting your crossover points for your speaker drivers, *(Tweeter, Woofer)*
You are able to set the crossover slopes *(2500-Khz @24dB)*
So the Filter that is being applied to the signal *(the 2500-Khz crossover point)*
would more accurately represent an analog filter or crossover *(The Box that comes with most speakers for a car)*
But is also able to do things that an analog crossover does not typically do such as phase of the singal to the speakers and response in your listening area from your speakers?
I think I'm at least 25% correct.
This is really nice, thanks. What application where you using to draw the graphs? (Or was it just an animation)
Excellent video! Gracias!
Superb thank you! However is it not unfair to say an IIR filter cannot temporarily correct a speaker resonance? Speaker resonance is mechanical so an opposite mechanical model should cancel the decay too, right?
thank you Dave. I have a question that i suspect you might not have time for. the bo.Xo , 3rd coefficient by the input sample, how it that physically added for the mathematical element, is that fitting ?
Thank you
7:50 That "flipping it around backwards" part to get the coefficients makes no sense whatsoever.
Ι think its the process of convolution mate
I think it's only flipped round visually compared to his previous graph. My understanding is that the coefficients effectively go backwards in time. So, for example, the 10th coefficient is referring to a sample 10 samples earlier. So really it refers to sample number -10 rather than +10 in the future, but coefficients are just numbered that way. But yeah, I think that was the one point where he said something confusing if you didn't already know a bit about FIR filters.
Can I somehow convert PEQ values (Freq, Bandwidth, Gain) to FIR? (he asks ignorantly).
STOP PUTTING MUSIC BEHIND EDUCATIONAL VIDEOS
Stop laying down orders as if you know better
Excellent video! Thanks a lot!