Introduction to Signal Processing: An Overview (Lecture 1)

This lecture is part of a a series on signal processing. It is intended as a first course on the subject with data and code worked in both matlab and python. The lectures are from the textbook Oppenheim, Willsky and Nawab, "Systems and Signals".

[@redondoj]

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!

[@lukanguyen743]

One of the best lectures on DSP I've ever seen. Thanks a ton, professor :)

[@gammingfatma2282]

Thank you, I'm really happy that you be back!

[@user-ib4pb5yl5m]

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.

[@wordofmouthkictchen9147]

This is really helpful and Nathan Kutz is well organized with his thoughts and how he presents this subject. Keep it coming sir.

[@channagirijagadish1201]

Excellent Introductory Lecture. Much appreciated.

[@shlomi_yehezkel]

Awesome! Love your lectures

[@adetoyesealbert2093]

Yay! After such a long time

[@andrewm4894]

Been telling people about Nathan's Coursera stuff for years OG mooc hall of famer imo :)

[@jacobmalof]

I think this is exactly what I was looking for. Thank you.

[@gean7917]

Incredible class. Thank you very much

[@andrewrodriguez5451]

Amazing, I’m an EE student and I found this lecture very interesting/helpful! I’m excited to see the rest of these lectures

[@muthukamalan.m6316]

welcome back!!

[@AJ-et3vf]

Great video. Thank you

[@bluebird485]

Thank you for the great lecture. I think the name of the book is "Signals and systems"

[@princyok8058]

Are the PowerPoint slides for this course available anywhere? You said there will be an accompanying website. None is provided in the description.

[@mohamadhamoudy8232]

Dear Professor Nathan , thanks a lot for theses great lectrures , please could you kindly add lectures on wavelets on signal processing and compression .

[@doccls]

Agreed; hopefully he will do an update to his earlier lecture: kzbin.info/www/bejne/jJq9iouuqt2IgaM

[@zhongxuanhou2727]

Nice！

[@jacobmalof]

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?

[@yanben]

WOO time to relive my AMATH 301 days

[@jpenneymrcoin6851]

why are the lectures backwards?

[@kamirom555]

BERAMBUS SEMUA

[@zrmsraggot]

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