I like how professor introduces the concept of signal processing functions. By hearing and determining how sounds map to functions, students are fully involved and curious. I hope my professor back in college is so smart in teaching...
Who wouldn't be amazed by teachers from MIT? ^_^ This entire course helped me pass my exams with such an ease :D Could say thank god that a lot off people are willing to share knowledge for free.
Said "helped me", it wasn't the only tool at my disposal. But, even if it was, why does it have to mean that exam was easy? Everything that you can learn in class is already somewhere on the internet...
not true,these lectures are really insufficient,only 1 lecture for convolution with just 1 example,not even amplitude modulation,not even channels,not even fourier transform properties,just the integral..these lectures are really incomplete,they are only qualified for giving one a small taste of telecommunications..but with this knowledge you cannot pass signals and systems in a university..to pass this lesson ,given that difficult excercises are on the exam,you need to solve loads and loads of complex tasks with convolution ,fourier etc..having only this guy's lectures at your disposal would make you helpless
Seems that you are not reading. Not only tool that I've used. Lectures like this one provided intro and much needed basics to better understand material covered in Digital Signal Processing by Li Tan. I've just stated that I love the way most MIT professors lecture. . .
seems that you are not reading. you said ''Said "helped me", it wasn't the only tool at my disposal. But, EVEN IF IT WAS, why does it have to mean that exam was easy? " and i answered you why,because these lectures do not even contain complex tasks that can get you familiar with telecommunications' difficulty..i did not say that his lectures suck,just that they cannot guarantee success if you do not solve tasks on your own. anyway,i also think mit professors are awesome
Quiet funny to see that some of the brightest minds in the world (people with the capacity to wrestle with a whole lot more ambiguity) get some of the best explanations. Thanks for making these best explanations freely available!
i think you know the relation between wave and sound. i think he just want to express that f=f(2x) compress the wave and sound will be faster, and f=1/3f(x) reduce the wave and sound will be undertone
Firstly, it is remarkable to witness the adaptation of the same subject I studied in my home country being taught in a place as prestigious as MIT. However, observing the disparities in teaching quality prompts me to contemplate the significant difference between a meticulously prepared class with detailed content and the actual delivery by the instructor, who is also a researcher in the field. This stands in stark contrast to the teaching methods employed by many professors in certain Latin American universities: often lacking support materials, empathy, meaningful interaction with students, effective teaching strategies, and an array of other shortcomings. Undoubtedly, the substantial variance in the caliber of professionals produced by universities is closely linked to the competence of the instructors. While this might seem like a fundamental truth, it is crucial to recognize the profound impact it has on shaping students' education.
Oh lord! 21:30 made me remeber of "Structure and interpretation of computer programs". 1) Primitives 2) Means of combination 3) Means of abstraction... The concept is sooooo important.
Life Hack to save tuition money for those thinking about majoring in EE: 1. Go to a cheap State school 2. Learn material over MIT OCW 3. ??? 4. Graduate 5. Profit!
45:11 I do not understand why the solution for f_2(x,y) is correct Taking the bottom left corner of the original picture, that is the point (-250,-250), then f_2(-250,-250)=(-750, -250) And in the second image, that point is clearly (0,-250)
there is a guy playing game on his cell phone instead of following the teacher 😂😂😂, but the teacher is a good teacher .he knows how to explain things. I am getting the concept of this although it is difficult. thanks Teacher.
The fact that I clicked on this for the content but ended up saving it because I thought the policies were smart and I'm applying for faculty jobs haha (content ended up being good too of course!)
@@schmetterling4477 seems to me that the only book on the subject is oppenheim and wilsky..which is the equivalent of an instructional guide of chinese, written in hyroglyphs. In other words, at best confusing and badly written. At worst, completely useless unless you aleady understand everything about the subject. A good textbook should increase the reader's interest in the subject and present the subject matter so it is easier to understand than it would be if the reader did not have the book. The book by oppenh and willsky does neither.
@@marinoraven9598 Huh? There are a gazillion books on signals and systems. Even I have seen many of them, and I am not even in the field. :-) I mean, at the end of the day you are simply telling me that you are either not interested in the field or you are intellectually lazy. Don't waste your money on university, kid. It won't do you any good. You don't belong there. :-)
At f(2T) doesn't time increases so the instead of squishing we would expand the waveform because we new Time = 2T? Why is it squished and not expanded? It would squish in f(T/2) ?
It is "squished" because what happened at time t_0=0 now happens at time t'_0=0, but the output of t_1=1 now occurs at t'_1=0.5 (what happened at any time after the beginning, now happens two times faster)
It would be f(o.5*t) because when you scale a signal by a factor greater than 1, the signal is compressed. When you scale by less than 1, the signal is expanded or slowed.
Hi sir. I am a student from India. While i love the clarity with which you explain. I can't help, but wonder - why there is not any mention of " hardware ". For eg: the " Right Shift operators , R " . How does that work, in the physical sense ? is there a chip / a micro controller / how ? - thank you
Could someone please explain why in the last image examples, f(2x, y) doesn’t describe the image stretched in the x plane? It seems that multiplying x by 2 around 0 should cause it to stretch in this way but the professor says this is incorrect.
I think you are correct. f_1(x,y) is in fact f(2x, y) I believe that it is f_2(x,y) which is incorrect. I believe that the correct transformation for f_2(x,y)=f((x+250)/2,y)
2 years too late, but maybe this will help someone else f(2x, y) will actually be compressed along x, by a factor of 2 For simplicity just take f(x) = 1 at x=6 0 everywhere else Define: f1(x) = f(2x) At x=6, f1(6) = f(12) = 0 At x=3, f1(3) = f(6) = 1 The value that f(x) takes at x=6 f1(x) takes that value at x=3 So f1(x) is a "compressed" version of f(x)
Given the description of a "system" as a transformation of an input signal to an output signal, what's the difference between a "system" and a "function"?
05:40 - "...we'd like you to be on the HONEST SIDE - i.e: we will expect that if you turned something in, under your own name, then it was something you actually did!" ...and 5 people leave the room immediately...
I like how professor introduces the concept of signal processing functions.
By hearing and determining how sounds map to functions, students are fully involved and curious.
I hope my professor back in college is so smart in teaching...
Who wouldn't be amazed by teachers from MIT? ^_^
This entire course helped me pass my exams with such an ease :D
Could say thank god that a lot off people are willing to share knowledge for free.
if u passed signals and systems with videos on youtube,it means that your exam was pretty easy..
Said "helped me", it wasn't the only tool at my disposal. But, even if it was, why does it have to mean that exam was easy? Everything that you can learn in class is already somewhere on the internet...
not true,these lectures are really insufficient,only 1 lecture for convolution with just 1 example,not even amplitude modulation,not even channels,not even fourier transform properties,just the integral..these lectures are really incomplete,they are only qualified for giving one a small taste of telecommunications..but with this knowledge you cannot pass signals and systems in a university..to pass this lesson ,given that difficult excercises are on the exam,you need to solve loads and loads of complex tasks with convolution ,fourier etc..having only this guy's lectures at your disposal would make you helpless
Seems that you are not reading. Not only tool that I've used. Lectures like this one provided intro and much needed basics to better understand material covered in Digital Signal Processing by Li Tan.
I've just stated that I love the way most MIT professors lecture. . .
seems that you are not reading. you said ''Said "helped me", it wasn't the only tool at my disposal. But, EVEN IF IT WAS, why does it have to mean that exam was easy? "
and i answered you why,because these lectures do not even contain complex tasks that can get you familiar with telecommunications' difficulty..i did not say that his lectures suck,just that they cannot guarantee success if you do not solve tasks on your own. anyway,i also think mit professors are awesome
@ Prof Denis freeman absolute clarity, I have never seen a professor like this. Your lectures will go long way sir, bowing down to you.
almost all courses in mit are legendary
Quiet funny to see that some of the brightest minds in the world (people with the capacity to wrestle with a whole lot more ambiguity) get some of the best explanations. Thanks for making these best explanations freely available!
i think you know the relation between wave and sound. i think he just want to express that f=f(2x) compress the wave and sound will be faster, and f=1/3f(x) reduce the wave and sound will be undertone
Firstly, it is remarkable to witness the adaptation of the same subject I studied in my home country being taught in a place as prestigious as MIT. However, observing the disparities in teaching quality prompts me to contemplate the significant difference between a meticulously prepared class with detailed content and the actual delivery by the instructor, who is also a researcher in the field. This stands in stark contrast to the teaching methods employed by many professors in certain Latin American universities: often lacking support materials, empathy, meaningful interaction with students, effective teaching strategies, and an array of other shortcomings. Undoubtedly, the substantial variance in the caliber of professionals produced by universities is closely linked to the competence of the instructors. While this might seem like a fundamental truth, it is crucial to recognize the profound impact it has on shaping students' education.
Simple, clear and effective. Makes you feel sorry about others that study S&S and they have go through ambiguous learning material.
It fucking blows dude
I'm really tired of having teachers who don't understand the material themselves...
starts at 11:22
Hey hey let him psych me up for this semester! Then crush me after...
Oh lord! 21:30 made me remeber of "Structure and interpretation of computer programs".
1) Primitives 2) Means of combination 3) Means of abstraction...
The concept is sooooo important.
Class starts at 11:39
Wow!!! What a lecture. The best explanation of signals and systems course. Kudos to you, Professor. Learned a lot from you.
I wish I could take a signal & system course like this. Mine was really unmotivating, and also I most people got lost
The audience is so amarphous. Teacher use great sense of humor to convey information
Cameraman should focus more on the screen for the benefit of viewers.
Life Hack to save tuition money for those thinking about majoring in EE:
1. Go to a cheap State school
2. Learn material over MIT OCW
3. ???
4. Graduate
5. Profit!
Community college is not a bad option either.
I'm taking this course right now at CSU, Chico and its really fucking hard. These videos help so much!
45:11 I do not understand why the solution for f_2(x,y) is correct
Taking the bottom left corner of the original picture, that is the point (-250,-250), then f_2(-250,-250)=(-750, -250)
And in the second image, that point is clearly (0,-250)
I actually think that the transformation for the second image should be f_2'(x,y)=f((x+250)/2, y)
And by the way, I think that f_1(x,y) is correct
@@nahuel3256 I am in the same boat as you and literally came to the same conclusion. I don't believe the example he showed is correct.
Is it just me or does this professor sound like The Joker from The Dark Knight?
I don't know but he sure looks like an old version of officer Gordon
agree
+akumainHD Well, the Joker wasn't in the Dark Knight Rises.....
It's just you
there is a guy playing game on his cell phone instead of following the teacher 😂😂😂, but the teacher is a good teacher .he knows how to explain things. I am getting the concept of this although it is difficult. thanks Teacher.
The fact that I clicked on this for the content but ended up saving it because I thought the policies were smart and I'm applying for faculty jobs haha (content ended up being good too of course!)
I can’t be the only one thinking this is Howard Wolowitz with his body movement from The Big Bang Theory
Wolowitz secretly works here
this lecture is pure gold.
11:35 this is where the lecture actually begins
Warning: Your understanding of S&S will never be the same.
Because it will be improved !
How anyone in this video could successfully answer any of the instructor's question after no explanations or examples is beyond me
Some are smart, some have worked through the books before taking the class. Some are neither.
@@schmetterling4477 seems to me that the only book on the subject is oppenheim and wilsky..which is the equivalent of an instructional guide of chinese, written in hyroglyphs.
In other words, at best confusing and badly written. At worst, completely useless unless you aleady understand everything about the subject. A good textbook should increase the reader's interest in the subject and present the subject matter so it is easier to understand than it would be if the reader did not have the book. The book by oppenh and willsky does neither.
@@marinoraven9598 Huh? There are a gazillion books on signals and systems. Even I have seen many of them, and I am not even in the field. :-)
I mean, at the end of the day you are simply telling me that you are either not interested in the field or you are intellectually lazy. Don't waste your money on university, kid. It won't do you any good. You don't belong there. :-)
Thank you professor very good explanation .
With examples it made easy to understand
I wish the sound was louder.
It's a test. You need to use Signal processing to boost the signal.
Use an op amp or a multistage amplifier!
@@pspmaster2071 yes, I think an op amp is a good choice!
Use sound booster (windows 10 app)
Thank you Professor!
43:32 lol at the guy who walked in.
:D
Thanks for the effort ...good stuff....
this course or Alan Oppenheim course is better ?
Great video.. worth watching!!
professor was awesome........
😃
why did the x(t) vector point up?
Pablo Tremont nuestra materia señales y sistemas!
At f(2T) doesn't time increases so the instead of squishing we would expand the waveform because we new Time = 2T? Why is it squished and not expanded? It would squish in f(T/2) ?
Yes it is Squished or you can say Compressed.
It is "squished" because what happened at time t_0=0 now happens at time t'_0=0, but the output of t_1=1 now occurs at t'_1=0.5 (what happened at any time after the beginning, now happens two times faster)
if t = 2 sec then what is the slower (or expanded) sound? f(2*t) or f(0.5*t)??
It would be f(o.5*t) because when you scale a signal by a factor greater than 1, the signal is compressed. When you scale by less than 1, the signal is expanded or slowed.
I like the way he teaches
University of Victoria, British Columbia, Canada
Hi sir. I am a student from India. While i love the clarity with which you explain. I can't help, but wonder - why there is not any mention of " hardware ". For eg: the " Right Shift operators , R " . How does that work, in the physical sense ? is there a chip / a micro controller / how ? - thank you
my school had a separate course for that (digital systems), so maybe it's separated here too.
What are you saying
I love the way u are explaining. Thank you SIR.
I thought I was in Mathematical Systems, like learning Euclid. 🥴
Could someone please explain why in the last image examples, f(2x, y) doesn’t describe the image stretched in the x plane? It seems that multiplying x by 2 around 0 should cause it to stretch in this way but the professor says this is incorrect.
Hi, are you referring to the Stata building example at 46:48?
I think you are correct. f_1(x,y) is in fact f(2x, y)
I believe that it is f_2(x,y) which is incorrect.
I believe that the correct transformation for f_2(x,y)=f((x+250)/2,y)
2 years too late, but maybe this will help someone else
f(2x, y) will actually be compressed along x, by a factor of 2
For simplicity just take
f(x) = 1 at x=6
0 everywhere else
Define: f1(x) = f(2x)
At x=6, f1(6) = f(12) = 0
At x=3, f1(3) = f(6) = 1
The value that f(x) takes at x=6
f1(x) takes that value at x=3
So f1(x) is a "compressed" version of f(x)
@@nishantarya98 thank you my friend,
does anyone have the sldes hes showing???!!!
The course materials are available on MIT OpenCourseWare at: ocw.mit.edu/6-003F11. Best wishes on your studies!
Given the description of a "system" as a transformation of an input signal to an output signal, what's the difference between a "system" and a "function"?
a system is a sum of functions is my understanding.
Thank you professor
JEEVAN D why did the x(t) vector point up?
05:40 - "...we'd like you to be on the HONEST SIDE - i.e: we will expect that if you turned something in, under your own name, then it was something you actually did!" ...and 5 people leave the room immediately...
Dear Batman, come get the joker !!!!!
i can't help laughing
OMG i can't focus the lecture now
The subtitles are awlful!!!!!!!!!!!
Its auto generated
Amazing !!!
MIT is awesome !
thank you !!!
University of Victoria, British Columbia, Canada
Can not understand the 34 minutes abt examples of speech by robert
You can switch to subtitles mode to understand it . The content is "I must apologize for speaking this. But you see I have no brain"
Is it only me or Prof. Dennis actually looks like Angela Merkel in the thumbnail.
hello anand paaji..(in 2nd row)
Lol...probably he doesn't even know this video was uploaded to youtube
32:44 the dude in the corner lefts because he's got no friend :(
he lectures very slow play at speed(1.25x)
Why does his voice remind me of the joker?
amazing man love it thank u very much
努力学习
to practice my English :)
Oops what a damn lectures on S and S
អរគុណ👏
great thank you
Just Wow !!
at 43:07 the projector screen should stay on camera, not the whole classroom, improve please :)
man i have an exam tomorrow, i don't care about your office hour xD
gratifying
11:44
Wow!
Can i know which book we can refer?
Refer - Oppenheim or Tarun Rawat
@@ankit845 People who come over here are not preparing for gate 😅
@@ankit845 oppenheim book is absolutely useless
God I'm dumb
inci hocadan gelenler :)
ua-cam.com/video/-FHm2pQmiSM/v-deo.html
text
光复香港时代革命
starts at 11:22
thx
thanks
thanks, you are the best
God
@ Prof Denis freeman absolute clarity, I have never seen a professor like this. You lectures will go long way sir, bowing down to you