Відео

Sir please give some real life example also ,

Thanks for your lecture!

Audio could use some Signal Processing

❤️

can you please share this ppt ?

Thank you so much for sharing. This is a wonderful lecture, clearly explained and very intuitive.

Thank you so much for sharing this excellent lecture ! This is gold

Really good lecture.

Frequency is scaled by M(2) ,SO it sud be( pie/2 )and not( pie*2)??

I liked this video. Just wanted basic explanation using physical world. Great work Prof.

great talk, by "Von Neuman computing theory" probably it was meant to refer to "Von Neuman computing architecture". I wonder if methods similar to Shamir's secret sharing techniques can be developed based on this work, but for secure computing.

brilliant series. Thank you!

course on Image Processing --> ua-cam.com/video/1DAR0zqOfCg/v-deo.html

"Scaling of frequnecy axis by a fator of M" is not true for down sampling I think. When the sentence is true, it is not downsampling , it only change some samples as zero. Downsampling will no change bandwidth if no aliasing happening.

Thank you for such clear representation on Sampling-rate conversion

How do you convert DTFT signal into DFT signal

very helpful thanks

You should have applied your FIR filter to your audio before publish.

Try to talk in your natural accent, don't try to be a native it is ruining your speaking skills

thank u

Please rerecord these videos if you use them for the next classes

Thankyou so much sir.

Correction #1: At 8:50 in the video, I depict the positive-frequency complex sinusoid as rotating clockwise; it should have been anti-clockwise. Negative-frequency complex sinusoids rotate clockwise, not positive-frequency ones. Clarification #1: The fact that the sinusoid at 8:50 is not starting at the x-axis is because I am not being precise with the plotting. Since the sinusoid has no phase shift, it will indeed start from the x-axis at t=0.

Thank you for the videos. They are very helpful

that’t just nice

Video starts at 20:15

Awesome video! Thanks for this - I feel like I'm beginning to wrap my head around the Laplace / Z Transform now!

NO ME GUSTAN LOS GARABATOS

Acha english bolna seekhiye sir ji

Brilliant work sir

one of the examples: θ(ω)=-2ω^2, should Τg(ω) be 4w instead of 2ω?

very well explained sir

Good video, you can conveniently run at 1.5x speed to save time.

very nice work

your voice。。。OK

audio is horrible. pls take care of that next time

I am working as High Speed Analog IP design Engineer with Intel for 3 years and I can say this basic course helped me a lot to get intuition and then I could go on ! Thank you so much

Very well explained Sir. Thank you very much for the video :)

Hi, before anything, thanks for your videos, they are very good. I have one doubt in this video, my doubt is: independently of the sampling period T of the C/D conversor, it will be aliasing in the frequency domain? I mean, if we sample x(t) with the Nyquist frequency, i.e (2*Omega maximum of X(w)), in that case there will be aliasing too? Thanks in advance!

thumbs up for the song choice

Good explanation.

Here is a practical application of the Sinc Interpolation with a software for Oscilloscopes: ua-cam.com/video/1W8B4rQeumM/v-deo.html

At the interval 16:30 in the above video , you plotted the DTFT from -pi to +pi , but the value of omega(w) can vary from - infinity to +infinity , why ? Aslo please explain why we are sampling omega in 2*pi intervals only as it is a angular frequency and can vary upto infinity in a given ramdom signal , though I heard that DTFT is periodic and continuous but don't know the reason .

Thanks again for another great video. Much easier to understand the concepts and properties of the four types of linear-phase FIR filters.

Excellent description of FIR filters and linear phase/group delay. Thank you very much!

Sir...you are great!

how the DFT can be obtained from the DTFT?

At around 22:22, using the definition which you have, of the difference equations having having constant coefficients, how is h[n]=sinc IRR? Or can "n" be considered a constant, in this. Thanks.

Thanks!It was very helpful!

Great lecture