Frequency domain - tutorial 3: filtering (periodic signals)

[@ibnuahmedbare1201]

WAAAAAW I LOVED IT.......................... one of the best tutors. by just watching the first 13 minutes of filters you expanded my brain cells. I had no idea.

[@Mahathep888]

You save my life Iman ,Once I think that I won't be able to understand this thing until I found you , Thankkkkkkkkk youuuuuuu

[@Kuchdelan]

THANKKKKKK YOUUUUUUUU!

[@sierra1519]

You are the best teacher i have ever seen, details in this video is so clear I love it

[@Kuchdelan]

Thank you! 😃

[@nathsujitkumar]

Very clear explanation. Really liked it. Essential things are described in a concise manner. Good work!

[@Kuchdelan]

I am very happy that you like my teaching style. Cheers!

[@awesome3dan]

Very helpful as mathematical foundation for the pattern recognition course I'm taking! This background knowledge is just assumed to be known, it would have taken me so much longer to collect it on my own in books or the internet than by watching your pleasant and thorough videos! Thanks, really awesome

[@Kuchdelan]

You're very welcome! It is a great pleasure to help you understand the foundation.

[@manrajmeena7658]

no word to say about your teaching skill sir!

[@Kuchdelan]

no word to say about your kindness ;)

Love your videos! Thank you for creating these, they're extremely helpful.

[@Kuchdelan]

Glad you like them!

[@ctrlc7040]

What a lecture man, you really nailed it, thanks a lot

[@Kuchdelan]

Thanks a lot Ctrl C :)

[@Satz07]

By doing well in the signal system's exam during my college days, i thought i understood the subject well. But after seeing your videos, i just realized that i was only good in maths without actually understanding the concepts of this subject. Thanx a ton bro. U r awesome🙂. Perhaps the best videos available online on this topic. ** just a request.....can u please teach digital signal processing also in a similar fashion!!!

[@Kuchdelan]

Thank you so much for your feedback. I will teach digital signal processing soon.

[@thedorantor]

Thank you so much for all these videos! I really like your teaching style.

[@Kuchdelan]

It is very nice of you! Thanks for the support and feedback.

[@yvesboutellier336]

so an underrated channel !!

[@Kuchdelan]

Agreed :/

[@mostafakarami7687]

Thank you Iman :) It would be great if you can explain the Gaussian filter and Gaussian process in signal processing.

[@Kuchdelan]

Hi Mostafa. Thank you very much for your feedback. I might cover digital filters in depth in the future. The problem is the topic is very niche and not many people watch it. Let's see!

[@thomascorner3009]

Very well explained: clear, concise and to the point! 😀

[@Kuchdelan]

Thanks for your lovely feedback.

[@rayhankabir9086]

now signal is seeming easy to me. Thanks to Iman vai

[@Kuchdelan]

I'm glad that you feel that way. cheers!

[@viper4793]

Oh hey handsome guy! You are helping me so much

[@Kuchdelan]

Lol! Thank you for your kind words!

[@reubenwilliammpembe667]

you are the beeeeeeeeeest!!!!! #RespectFromSouthAfrica

[@Kuchdelan]

Hey Reuben. You are very kiiiiiiiiiiiiiiiiiiiiiiind!!!! #RespectFromCanada ;)

[@RodolfoDeNadai]

Excellent video and explanation! Good work!

[@Kuchdelan]

Thanks a bunch, Rodolfo.

[@road2grandchamp238]

Amazing video, super helpful

[@Kuchdelan]

Thank you!

[@nguyentram3958]

Thank you so much for your video. Could i ask you some question? I am planing to filter the earthquake acceleration with time step is 0.01. So what type of filter should i use, and why? Thank you so much!

[@gruenrob]

Good stuff man, thanks!

[@Kuchdelan]

thanks a lot, Rob!

[@jetakota]

Thank you Iman

[@Kuchdelan]

My pleasure!

[@z3jlewhhda376]

what a explaination! Thank u

[@Kuchdelan]

Thank you very much ;)

[@abdulmuminredhowan5874]

can you tell me what is the name of this app you are writing? Your teaching method and technique is the best.

[@Kuchdelan]

Thank you Abdul. The teaching platform is called Castofly www.castofly.com

[@fayaqkirmani]

I wish I get the same knowledge of the subject as u have

[@Kuchdelan]

You will if you study hard :)

[@RAGHAVENDRASINGH17]

great video

[@Kuchdelan]

Glad you enjoyed it

[@rrr2sons]

Hi Iman, could you please make tutorial on low pass filter for time series data?. like for example stock market day data for let's say 200 days data , each column is day data stock close price.

[@Kuchdelan]

Have you checked my videos on Times Series Analysis and Forecast? kzbin.info/www/bejne/bZbFYmdnls-HbcU

[@meliodassama695]

What was that ....Best of the best

[@Kuchdelan]

Thanks a lot!

[@georgehanna8879]

Thank you for this clarification, I only have a question, You showed us formulas, but how does the filter work inside ??, I mean, how does the filter prevent stuff to pass. (I would like to know the soul of the filter).

[@ghufrankhanjadoon3415]

If you are talking about the hardware of filter designing, you can make almost build any kind of filter (e.g low pass, highpass , bandpass) with the combination of capacitor, inductor and a resister. As for the knowledge, capacitors tend to block low frequencies and inductors don't like change in frequencies.

[@georgehanna8879]

Ghufran Khan Jadoon Thanks for replying. I would like to know how by examples.

[@Kuchdelan]

Thanks a bunch for such a great interest to fully grasp the concept. It is all applied math! When the filter doesn't want to pass a specific frequency, the amplitude response is zero or the filter coefficients are designed in a way that cancel out each other. Hope this makes sense.

[@vonjuez654]

George Hanna you need to study frequency response so you will know the idea behind filters. That is usually covered by a chapter in a test book.

[@samyaratanganguly]

awesome video

[@Kuchdelan]

awesome Samya :)

[@jaanuskiipli4647]

great introduction, but I don't understand, why there is k in the exponent of the terms e^(i*k*w*t) in sum(over k)ck*e^(i*k*w*t). It implies dependence on the order of summation, which in my understanding should not be the case.

[@Kuchdelan]

Thank you for the feedback, Jaanus. Regarding your question, if there is no k, it means there is just one frequency (wo which is the fundamental frequency), i.e. the signal is single tone (single frequency). k must be present in the exponential function.

[@jaanuskiipli4647]

Yea, I figured already out that my question was a bit foolish. I'm kind of new to this signal processing stuff. But here comes another question, how do you actually integrate over complex number field, what phase does the dt term have? And the result is a complex number also, do you discard the phase and take only module?

[@Sweets-o0o]

GOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOd thank you!!!

[@travel.cooking.fitness.diaries]

If we want only negative exponentials to be removed.. which filter will be used?

[@Kuchdelan]

Yes, here is an example: www.mathworks.com/help/signal/ref/hilbert.html

[@Zpooz14]

awesome! thank you!

[@Kuchdelan]

cheers!

[@homemadejam4307]

very good, thank you.

[@Kuchdelan]

Pleasure to help!

[@fbetul7]

awesome!!

[@ChiTran-xd1pg]

thanks a lot!!!

[@Kuchdelan]

Welcome!

[@obaids9717]

You rock!

[@Kuchdelan]

You too!

[@balajip5030]

thank u dude.

[@Kuchdelan]

cheers!

[@sauravti]

Awesomeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee 😎

[@Kuchdelan]

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[@mamus165]

thanks

[@AlokKumar-vn5qr]

awsm

[@baydaahameedi1243]

gooooooog thank u

[@Kuchdelan]

You're welcome!

[@alikhatami6610]

vagean mamnoon kheili komak kard

[@Kuchdelan]

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[@peachy6108]

slay

[@Kuchdelan]

Thx!

[@nguyentram3958]

Thank you so much for your video. Could i ask you some question? I am planing to filter the earthquake acceleration with time step is 0.01. So what type of filter should i use, and why? Thank you so much!