Dear Professor Nathan. Thank you very much for sharing your knowledge through these videos. Excellent quality of the same in its content. Thanks again. Best and Blessed!
For the Average Signal Power in the discrete case, I think we should be dividing by n_2 - n_1 + 1, since that is how many data points you will have in the interval from n_1 to n_2.
Dear Professor Nathan , thanks a lot for theses great lectrures , please could you kindly add lectures on wavelets on signal processing and compression .
Can a signal be sent and received that is not em in nature? What forces exist outside of em? Gravity? Time? … Which invisible forces can be translated into a useful spectra we can then perceive with our senses? What are the limiting factors preventing us from translating more?
Hello When talking about the Webb at 18:00 and the image we see despite the fact it's looking at Infrared spectrum, can we compare it to coordinate system and a kind of Fourier Transform ? Or not at all ... would strongly appreciate an answer, thanks
One of the best lectures on DSP I've ever seen.
Thanks a ton, professor :)
Yay! After such a long time
Been telling people about Nathan's Coursera stuff for years OG mooc hall of famer imo :)
Excellent Introductory Lecture. Much appreciated.
Dear Professor Nathan. Thank you very much for sharing your knowledge through these videos. Excellent quality of the same in its content. Thanks again. Best and Blessed!
This is really helpful and Nathan Kutz is well organized with his thoughts and how he presents this subject. Keep it coming sir.
Thank you, I'm really happy that you be back!
I think this is exactly what I was looking for. Thank you.
Incredible class. Thank you very much
Amazing, I’m an EE student and I found this lecture very interesting/helpful! I’m excited to see the rest of these lectures
Awesome! Love your lectures
For the Average Signal Power in the discrete case, I think we should be dividing by n_2 - n_1 + 1, since that is how many data points you will have in the interval from n_1 to n_2.
Dear Professor Nathan , thanks a lot for theses great lectrures , please could you kindly add lectures on wavelets on signal processing and compression .
Agreed; hopefully he will do an update to his earlier lecture: ua-cam.com/video/ViZYXxuxUKA/v-deo.html
Thank you for the great lecture. I think the name of the book is "Signals and systems"
Great video. Thank you
welcome back!!
WOO time to relive my AMATH 301 days
Nice！
Are the PowerPoint slides for this course available anywhere? You said there will be an accompanying website. None is provided in the description.
Can a signal be sent and received that is not em in nature? What forces exist outside of em? Gravity? Time? …
Which invisible forces can be translated into a useful spectra we can then perceive with our senses?
What are the limiting factors preventing us from translating more?
Sound :)
Hello
When talking about the Webb at 18:00 and the image we see despite the fact it's looking at Infrared spectrum, can we compare it to coordinate system and a kind of Fourier Transform ? Or not at all ... would strongly appreciate an answer, thanks
why are the lectures backwards?
BERAMBUS SEMUA