You're an absolute star. I was googling signal processing expecting to watch a 5 minute video somewhere and here I am a couple of hours later chain-watching all your videos. You're excellent at breaking concepts down and keeping everything simple and understandable. Big thanks!
Very nice job Iman! A person almost 0 in this field now has got the concept beyond it and is going to implement it in his own area of expertise, namely CFD!
I appreciate your video and explanation. I am a electronics engineer but I failed to learn this concept well in school. Your video is helping me understand it now.
Awesome tutorial. This video on frequency domain has the best explanation and example. I have been googling this concept for the past 5 days and couldn't get an amazing content like this. ;)
Hope your channel grows wild. Excellent break down and organization. Look forward to watching the whole series once im done with my exams.Keep up the good work!
Good job! With better and better videos coming out for our field of study, I fear more and more people will become Engineers! You've made life easier for me!
Great conceptual explanation, but one has to explain what the independent variable is in both domains, and one has to explain the math behind the appropriate transforms and what they actually do the signal in the time domain. As a student, I never found a good explanation, and I suspect it's because the mathematics needed isn't covered, even in the books, specifically talking about transforms. For example, in math, it's easy to explain the concept of the derivative. It doesn't change the domain of the function, but it looks at the slope of the function, and that's completely derived in the textbook. One can use f'(x) and f''(x) to determine min, max, concavity, intervals of increase, intervals of decrease, etc. However, I do not see engineering books explain what integrating f(t)*e^(-st) does to f(t). Only thing stated is that F(s) is the frequency domain version of f(t). But that doesn't explain much.
If I replace the word "fast" by "rate". Do you think the defination will be more generalize ? Frequency: the rate by which signal is changing. Slow Rate: Low Frequency High Rate: High Frequency
I can see your logic and it is interesting but I still like fast over rate. My definition is not technically 100% correct as I said it in the video. It just helps me connect to the frequency concept. If you prefer rate, why not my friend ;)
Recently learned this lesson on my class, and this video is help me to strengthen my fundamental knowledge of signal processing. could you explain the difference between two math arguments of fundamental of frequency in discrete time, in example if i have fundamental frequency in y1[n] = cos [2*phi*(30/60)n] and y2[n]=cos[2*phi*(31/60)n]. thank you Iman
In discrete time domain signal If I have sin(2πF0n) with F0 = 1/16 Fundamental Period is 16 If I have sin(2πF0n) with F0 = 3/16 Fundamental Period is still 16 so what is the different between the first signal and the latter?
Thanks for rephrasing the question. Yes, the fundamental period for both signals is 16. The thing is in the discrete domain 16/3 has no meaning. Sampling time (n) is an integer. We can say first sample, second sample, and so on. We can't say 16/3 sample. That's why the periodic pattern is observed every 16 sample. Hope this helps.
I am a bit confused by the song example. If you consider sound as the signal, doesn't pitch dictate what frequencies a song has rather than the tempo? A very pitched voice would have very high frequencies in the spectrum. For example, consider a very slow tempo sad song, but the singing voice is really high pitched. Would the frequency spectrum of the song show presence of high frequencies or low? Also while I am it, in your signal transformation video, when you sped up the song, the voice turned high pitched [indicating increase in frequency as the signal got compressed into less time and hence started varying more quickly. And similarly when you slowed down the song, a very heavy voice emerged, indicative of low pitch, or low frequencies as the signal got stretched into more time and hence varied very slowly with time. Am I correct in my understanding? Please help clear my doubts, Iman. I am really enjoying your series though!
Hey Abhishek, thank you very much for your comment and sorry for the confusion! This is a very good question but the answer is a bit advanced and involves lot of digital signal processing techniques. To make a long story short, by resampling (speeding up or slowing down the track), pitch and tempo changes cannot be separated and they go hand in hand (the things that I explained in the tutorial). However there are some DSP techniques that can be used to change the tempo without effecting the pitch. Some tools like Audacity use these techniques to slow down or speed up a speaker without altering the pitch to make it sound natural. Hope my explanation helps. Here is an article that you might find useful: en.wikipedia.org/wiki/Audio_time_stretching_and_pitch_scaling
Hey my friend. I use Photoshop for drawing, Movavi Suite for capturing my screen and simple video editing, and finally Audacity for sound recording & editing. In terms of hardware, I use Huion drawing tablet and Blue Yeti mic. Hope this helps!
excellent explanation - at 8.02 to 8.08 - when putting the Baby frequency , it is not spreading from origin to both side along X axis - as suggested by high frequency , why it is plotted as a bar type graph only 2 side of x axis - It will be starting from origin and spreading across both side - refer 2.30 -2.49 / can you please explain
If frequency increases in SHM, so does the acceleration. But does it make sense that high frequencies impose such a high acceleration? How do you account for this biased acceleration given by high frequencies. For instance, for SHM, a=( 2*pi*f)^2. How do you account for the fact that lower frequencies have more detrimental effects that high frequencies?
My explanation was simplified to make it understandable for beginners. As I mentioned in the lecture, my definition is not 100% technically correct but it really helped to wrap your head around many concepts in signal processing.
Hi Nastaran, thanks for the feedback. You are awesome! I used to teach at University of Victoria a few years ago but I have been in industry for the last couple of years and just making online videos for my channel.
Hey Kabir. Thanks a lot for the positive feedback. "The concept of negative and positive frequency can be as simple as a wheel rotating one way or the other way: a signed value of frequency can indicate both the rate and direction of rotation." Please read this article for more info: en.wikipedia.org/wiki/Negative_frequency
2:0 min ( I think the frequency of an audio signal does not determine how fast the music is played but defines rather the pitch of the sound ... high frequency = high pitch sound and low frequency = low pitch sound )
You need a Grammy Award or something for that brilliant motivation! Most professors are teachers, but you my friend, are an educator 🙏🏽😭☺️🙌🏽
Wow, thank you very much for your kindness and support!
Am speechless. No faculty would think that this kind of examples could be given. Great job. You should be teacher of all my teachers.
thank you very much Kumar, you are very kind!
You're an absolute star. I was googling signal processing expecting to watch a 5 minute video somewhere and here I am a couple of hours later chain-watching all your videos. You're excellent at breaking concepts down and keeping everything simple and understandable. Big thanks!
Thank you very much for your feedback. You are very kind and it is a such a great pleasure to have you in my channel. Cheers!
Very nice job Iman! A person almost 0 in this field now has got the concept beyond it and is going to implement it in his own area of expertise, namely CFD!
Hey Saba. It is a great pleasure to help you and thanks for your feedback!
This was an amazing explanation. Totally loved it. Very easy to understand.
Thank you very much! I checked your channel and loved it! Tons of good stuff. So you got one more subscriber :)
I appreciate your video and explanation. I am a electronics engineer but I failed to learn this concept well in school. Your video is helping me understand it now.
Glad it was helpful!
I took an entire Signals and Systems course in uni and understaood this concept just now XD Thanks for the video!!
Glad it helped!
love from India.
Thanks for such an amazing introduction.
This was my favorite one in the entire Signals & Systems Series so far!! Thanks for all your help :)
Glad it was helpful!
Keep this flow sir..!! We engineers really need such explanations to get rid of our classrooms' boring lectures...!!!
Lol, I will do my best to publish more courses soon. Thanks for your feedback!
@@Kuchdelan Your work is always supported..👍👍
Awesome tutorial. This video on frequency domain has the best explanation and example. I have been googling this concept for the past 5 days and couldn't get an amazing content like this. ;)
Thank you very much! It is a pleasure to help you understand the concept.
brilliant, i loved the real world examples which made them practical and useful
Thank you! Glad you enjoyed the content.
Iman you are the best . thank you so much for your amazing video and tutorial. I wish you were be my professor for my DSP program . Hamid from China
Thank you very much Hamid!
This is a great explanation-I really liked the music band scenario to explain the utility of both domains!
Thanks a lot, Jim. I am very happy that you liked my example. Cheers!
very clear even though I just learned signal processing but I can understand the explanation very well.
very helpful, thank you.
From Timor-Leste...
It is a great pleasure to help you understand the topic. Cheers!
Thank you !!!! I'm taking signals data and analysis class and was struggling.... Just watched your video and realized there's hope! Keep posting!
Thank you Tania! I'm glad that you like the video ;)
This video really helped me understand the use of the frequency domain. Thank you!
Glad you liked it!
Thank you for thisss. I've always found the concept of frequency very tough but you explained it so well.
Glad it was helpful!
Man, you could open my mind for something I've tried so hard and had never understood before! Thank you very much! Subscribed! Greetings from Brazil.
Thank you very much, Leandro! It is such a great pleasure to help you understand concepts and thank you for subscribing to my channel. Viva Brazil :)
I love it, because English is not my first language, and i understand clearly what you say.
Thank you very much.
Thanks bro. I am preparing for gate and this explanation has made me more confident on the basic concepts of signal and systems
Pleasure to help Nilutpal. Good luck with your exam!
you teach in simple way and student will need such away.thank you
So nice of you! Thank you!
Hope your channel grows wild. Excellent break down and organization. Look forward to watching the whole series once im done with my exams.Keep up the good work!
Thank you very much for your positive feedback and good luck with your exams!
You are amazing and one of the best tutor i ever seen... Please Continue your service..
Good job! With better and better videos coming out for our field of study, I fear more and more people will become Engineers! You've made life easier for me!
Thanks Seth. It was a pleasure to help. cheers!
This video taught me in 9mins what my uni lecturer couldn't make clear in a whole semester!!
Thanks a lot, Man. Your comment made me really laugh :)
This is one of THE BEST videos I have watched so far. Great job and please keep up the good work :)
Glad you enjoyed it!
Its a lovely tutorial Iman,every thing you said made sense.Keep making more Image Processing Videos.
Thanks a lot, Yash!
the best teaching for signal modulation ....thank u sir! u make me a good student in college.
Thanks a bunch, Arup. It is a pleasure to help ;)
Iman, this lecture deserves a big WOW....
I have learned something new.... Thank you Bro....
Kedareswar, you deserve a BIG THANK YOU :)
I have no engineering background but I still watched the video and enjoyed it! :) Keep on the good job!
Thanks a lot, Hossein ;)
you are now an engineer in the making,.
most underrated lectures...
Glad you like them!
Wow, because 4:15 is the first time I understand the dual relationship between the length of time and frequency domain signals.
cool cool! Happy to help, my friend ;)
Thank you very much! You are making all these concepts very easy to understand. - An engineer student
Thanks a lot, Luca!
You are great teacher Iman. May Allah bless you brother. Thank you.
You are awesome my friend :)
Love it when he explain it with the illustration! Appreciate it !
Love your comment ;)
Awesome Iman. Cartoons were superb. I laughed and learned. Thank You
My pleasure 😊 Thank you for your lovely feedback!
fantastic i am a Networking student it make me too much indulge...love you bro
Thanks a bunch! You are awesome!
Amazing video, Iman! simplified and to- the- point content delivery. loved it. Thanks!
Thank you Nerlekar. You are amazing ;)
Thank god. I watched this video. You are amazing.
Glad you enjoyed it!
Amazing tutorial! Thanks.. these are highly underrated.
Vishwas Gosain thank you very much.
ممنون ایمان جان. بسیار شهود خوبی به من داد.
Mamnon Mojtaba jan, shoma lotf dare doste aziz!
Great conceptual explanation, but one has to explain what the independent variable is in both domains, and one has to explain the math behind the appropriate transforms and what they actually do the signal in the time domain. As a student, I never found a good explanation, and I suspect it's because the mathematics needed isn't covered, even in the books, specifically talking about transforms.
For example, in math, it's easy to explain the concept of the derivative. It doesn't change the domain of the function, but it looks at the slope of the function, and that's completely derived in the textbook. One can use f'(x) and f''(x) to determine min, max, concavity, intervals of increase, intervals of decrease, etc. However, I do not see engineering books explain what integrating f(t)*e^(-st) does to f(t). Only thing stated is that F(s) is the frequency domain version of f(t). But that doesn't explain much.
Yeah I hear you! Thanks for your great feedback.
Love your explanation bro... very easy to understand
Glad it helped
your the best in this field pls upload more videos
Thank you very much. I will post more videos
Thank you for making this video. Absolutely easy and clear to understand.
You're very welcome!
If I replace the word "fast" by "rate".
Do you think the defination will be more generalize ?
Frequency: the rate by which signal is changing.
Slow Rate: Low Frequency
High Rate: High Frequency
I can see your logic and it is interesting but I still like fast over rate. My definition is not technically 100% correct as I said it in the video. It just helps me connect to the frequency concept. If you prefer rate, why not my friend ;)
The real world hero existing, thankyou so much :)
You are very kind! Cheers!
Your videos are really efficient
Thanks a bunch, Ankit.
i cant thank you enough! you`re so good at explaining
Thanks a lot, Ahmad. You are very kind ;)
By far the most precise and intuitive video I have ever seen! Great job!
Your comment made me very happy! Thanks my friend ;)
Recently learned this lesson on my class, and this video is help me to strengthen my fundamental knowledge of signal processing. could you explain the difference between two math arguments of fundamental of frequency in discrete time, in example if i have fundamental frequency in y1[n] = cos [2*phi*(30/60)n] and y2[n]=cos[2*phi*(31/60)n]. thank you Iman
Hey Pak. Thank you very much for your feedback. I am not sure If I get the question, could you please rephrase it?
In discrete time domain signal
If I have
sin(2πF0n) with F0 = 1/16
Fundamental Period is 16
If I have
sin(2πF0n) with F0 = 3/16
Fundamental Period is still 16
so what is the different between the first signal and the latter?
Thanks for rephrasing the question. Yes, the fundamental period for both signals is 16. The thing is in the discrete domain 16/3 has no meaning. Sampling time (n) is an integer. We can say first sample, second sample, and so on. We can't say 16/3 sample. That's why the periodic pattern is observed every 16 sample. Hope this helps.
I am a bit confused by the song example. If you consider sound as the signal, doesn't pitch dictate what frequencies a song has rather than the tempo? A very pitched voice would have very high frequencies in the spectrum. For example, consider a very slow tempo sad song, but the singing voice is really high pitched. Would the frequency spectrum of the song show presence of high frequencies or low?
Also while I am it, in your signal transformation video, when you sped up the song, the voice turned high pitched [indicating increase in frequency as the signal got compressed into less time and hence started varying more quickly. And similarly when you slowed down the song, a very heavy voice emerged, indicative of low pitch, or low frequencies as the signal got stretched into more time and hence varied very slowly with time.
Am I correct in my understanding? Please help clear my doubts, Iman. I am really enjoying your series though!
Hey Abhishek, thank you very much for your comment and sorry for the confusion! This is a very good question but the answer is a bit advanced and involves lot of digital signal processing techniques. To make a long story short, by resampling (speeding up or slowing down the track), pitch and tempo changes cannot be separated and they go hand in hand (the things that I explained in the tutorial). However there are some DSP techniques that can be used to change the tempo without effecting the pitch. Some tools like Audacity use these techniques to slow down or speed up a speaker without altering the pitch to make it sound natural. Hope my explanation helps. Here is an article that you might find useful:
en.wikipedia.org/wiki/Audio_time_stretching_and_pitch_scaling
@@Kuchdelan Can you explain both question and answer in layman terms? I partially understood it.
thank you Iman . you are great .this lecture is fun and rich of helpful information. I hope to see more courses and lectures by you.
It's my pleasure. Thank you for your kind words!
It's fun watching the videos, Iman. Thank you very much.
Glad you enjoy it!
Dear iman I need help. how I record videos like you? I mean which tools do you used.
Hey my friend. I use Photoshop for drawing, Movavi Suite for capturing my screen and simple video editing, and finally Audacity for sound recording & editing. In terms of hardware, I use Huion drawing tablet and Blue Yeti mic. Hope this helps!
Thank you so much for your tutorial. It really helped me a lot ☺️
You are very welcome!
The drawing skill is fantastic!
Thank you! I should show this to my dad. When I was a child he was always complaining about my handwriting and drawing skills. Lol!
Excellent. One of the best explanations I have heard. Keep it up Iman.
Thanks a bunch!
excellent explanation - at 8.02 to 8.08 - when putting the Baby frequency , it is not spreading from origin to both side along X axis - as suggested by high frequency , why it is plotted as a bar type graph only 2 side of x axis - It will be starting from origin and spreading across both side - refer 2.30 -2.49 / can you please explain
I am proud of you Iman... alieee bud gol kasha fight yezare ru raghs kar kon dadash ;) eradattttt
Hahaaa, thanks a lot Amin jan. Vaght beshe hatman ro raghsam kar mikonam, dameh shoma garm ;)
Eradatmand ostad azizam...
If frequency increases in SHM, so does the acceleration. But does it make sense that high frequencies impose such a high acceleration? How do you account for this biased acceleration given by high frequencies. For instance, for SHM, a=( 2*pi*f)^2. How do you account for the fact that lower frequencies have more detrimental effects that high frequencies?
My explanation was simplified to make it understandable for beginners. As I mentioned in the lecture, my definition is not 100% technically correct but it really helped to wrap your head around many concepts in signal processing.
I love you man, your explanations are so good. Congratulations and Thank you very much!
Thanks a lot man. I am happy that you like my teaching style. Cheers!
Really clear explanation!
Cheers!
i wish engineering universities also teach like this, impeccable......!
Thanks a lot, Muhammad!
very nice explanation to understand thanks.
Glad it was helpful!
Jazakallah bro, i loved the video
Thanks a lot ;)
Jazakallah Bro Iman, My Greetings from Germany, Can i ask u about the name of the program u r using in explaining؟
Hey. I am using Photoshop to draw things, Movavi Suite to capture & edit video and Audacity to record & edit sound. Best!
Thank you so much for this tutorial it help me a lot about frequency domain : )
Thank you for your feedback ;)
Thanks very much for your explanation with pratical situation in life :)
You are very welcome, my friend!
Love your explanation dude
thanks a lot my friend.
Sence of humour + logic = iman sir
awesome + supportive = Mallavi
Amazing explanation thanks
Cheers!
You just saved me from failing my midterms...god bless
Thanks Pax. Such a great pleasure to help ;)
lol this is the most down to earth explanation of the topic I've ever heard
Oh thanks for your lovely feedback!
whats the fast song's name??? i really loved that... and thanks for the video, it was indeed helpful
Thanks for your feedback. The song is "California Lullabye" by Josh Woodward.
thanks.......
Amazing explanation! Thank you!
lovely video @iman - so much information with fun!
Glad you enjoyed it, Kapil!
I love this video bro.Its really helpful for me.Thankyou
Thanks a bunch, Naim ;)
Excellent! your students are lucky to have you, where are you teaching?
Hi Nastaran, thanks for the feedback. You are awesome! I used to teach at University of Victoria a few years ago but I have been in industry for the last couple of years and just making online videos for my channel.
Just loved it brother. Well-explained
Thanks a lot!
keep up the good work man!..what does negative frequency mean in the graph??
Hey Kabir. Thanks a lot for the positive feedback. "The concept of negative and positive frequency can be as simple as a wheel rotating one way or the other way: a signed value of frequency can indicate both the rate and direction of rotation." Please read this article for more info:
en.wikipedia.org/wiki/Negative_frequency
fantastic tutorial
Thank you.
this is insanely well explained. omg.
Cheers!
Thank you very much for this video. Very informative!
Thanks Jerome, it is very nice of you to say that ;)
your way of explanation is nice.
so can you make a video on spectrum of a signal..please.
Hey Manali. Thank you for the feedback. My next tutorial is on frequency spectrum (amplitude & phase response).
thank you soo much imran 😊
Great introductory video. Thank you!
Glad it helped!
Your amazing brother!
You too!
you are awesome brother....
You too
its....to helpfull for me thanks..for it...keep uploading....
That was a nice explanation.
Glad it was helpful!
Thank you for all your videos.. they are very helpful :)
Thank you for your kind words!
you r a shining star
Thank for your kindness
Nice presentation
Thank you ;)
Excellent and easier explanation! Loved it. Subscribed.
Thank you very much, Zarif!
2:0 min ( I think the frequency of an audio signal does not determine how fast the music is played but defines rather the pitch of the sound ... high frequency = high pitch sound and low frequency = low pitch sound )
It was amazing, thank you.
Glad you liked it.
what is frequency in the equation you used?
عالی بود حاج ایمان
Mamnonam!
Phenomenal tutorial.
Cheers!