Digital Signal Processing 1
Basic Concepts and Algorithms

Digital Signal Processing (DSP) Class "starts" today on Coursera

If you want to learn natural language processing and speech recognition you probably should consider studying recurrent neural network instead of signal processing.

I'm currently doing a [DSP course on coursera] (https://www.coursera.org/learn/dsp). It seems pretty good.

Matlab seems to be a programming common language to prototype DSP. But in the real world they probably use C and CPP.

I don't much about DSP thought D:

Computer Vision Roadmap

I am planning to start learning Computer Vision using online courses and lectures available online (preferably for free), to get from beginner to intermediate level. I have a reasonable knowledge of relevant maths (linear algebra, calculus, statistics etc.) and programming (Python). In order to build a good curriculum I am asking for your help :)

I believe that one should start with the fundamentals of signal processing, image and video processing. Here are some courses that I found so far:

• Digital Signal Processing (EPFL) https://www.coursera.org/learn/dsp

• Digital Signal Processing (ECSE-4530) https://www.youtube.com/watch?v=hVOA8VtKLgk&list=PLuh62Q4Sv7BUSzx5Jr8Wrxxn-U10qG1et&index=1

• Intro to Digital Image Processing (ECSE-4540) https://www.ecse.rpi.edu/~rjradke/improccourse.html

• Fundamentals of Digital Image and Video Processing https://www.coursera.org/learn/digital?

• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital https://www.coursera.org/learn/image-processing

Of course I don't plan doing all of them, so would like to hear some suggestions and recommendations about which courses to take and in which order.

Next, I would proceed with computer vision courses/lectures, starting with more traditional CV and then continuing with modern approaches that use deep learning. Perhaps starting with:

• UCF Computer Vision Video Lectures 2012 https://www.youtube.com/watch?v=715uLCHt4jE&list=PLd3hlSJsX_Imk_BPmB_H3AQjFKZS9XgZm&index=2&t=2904s

and then doing Andrew Ng's Deep learning specialization on coursera.

Any recommendations and suggestions are welcome!

You might find this video helpful.

DSP is really useful in a wide variety of disciplines, especially if you end up becoming an embedded programmer. A lot of embedded code hooks into digital or analog sensors, and gleaning useful information from these sensors usually requires some amount of signal processing. Granted, it isn't always as complicated as what you'd learn in a DSP class, but it is really useful to know that stuff is available when you need it.

All this being said, I'm not going to lie to you, this material is not exactly intuitive, and can be very challenging to learn on your own. It is very math heavy, and there aren't very many good resources out there that I know of that can help with the learning curve.

Things that I used to help me get through the classes were:

• MIT opencourseware
• The signals and systems bible (oppenheim). Looks like there might be a newer edition, but I used this one.
• This doesn't look like a bad resource. Could be worth the look

I'm sorry to hear that the main prof is shitty. Maybe another thing to consider would be taking the class online from another university? This one looks pretty solid.

Good luck!

I am also in a similar situation. Thanks for opening this post. I am following the comments. I have just found this course on coursera about digital signal processing: https://www.coursera.org/learn/dsp?courseSlug=dsp&showOnboardingModal=check

Best of luck to you!

I am in the same position as you. A few others have already mentioned a couple good resources.

I just wanted to add this DSP course being offered on Udacity might be worth your time. Also, the professor, M Vetterli, also has a book on DSP you can find here.

There are already tons of books out there, so you have a lot to pick from. But the video course might actually be good.

It's tough man, I ended up posting in r/DSP because it should've gone there haha as well

https://www.reddit.com/r/DSP/comments/9n9u7z/online_resources_to_help_learn_dsp/e7kppxp/?context=3

and I found theres a course in Coursera but their end of the course is my beginning. Helps with the intro stuff anyway

https://www.coursera.org/learn/dsp/lecture/cstco/4-1-a-linear-time-invariant-filters

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MIT courseware site there are very good lectures of prof oppenheim himself. Other than this you can follow these materials-

https://ocw.mit.edu/resources/res-6-008-digital-signal-processing-spring-2011/

https://www.coursera.org/learn/dsp

https://www.youtube.com/playlist?list=PL4DC5834F2789B825

Found these on courses on Coursera.org for Audio Signal Processing for Music Applications.

Digital Signal Processing

Linear algebra:

• Linear Algebra Done Right

• Linear algebra lectures

DSP books:

• Foundations of Signal Processing

• Think DSP

• Signal Processing for Communications

• Scientist's & Engineer's Guide to DSP

DSP courses:

• coursera

• edx

• Modern DSP

Other:

• this reddit post

I'm currently working my way through the linear algebra video lectures and following along with the Linear Algebra Done Right book. I think that aspect was really lacking for me back in school, eg what eigenvectors/eigenvalues actually mean. I'm also starting on the Modern DSP lectures from Dr Wickert. The Coursera course is a bit too tough for me to follow but the edx one looks good, it follows along the Oppenheim textbook, with some excerpts of his lectures.