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RF signal processing prof looking for producer #85

Open 777arc opened 2 years ago

777arc commented 2 years ago

About the author

I'm an adjunct prof at University of Maryland CS and full time software engineer/researcher doing RF signal processing (currently focused on cloud native RF DSP and SDR). I am author of www.pysdr.org and one of the leads for the GNU Radio project, a free and open source software framework for digital signal processing, for wireless comms/radar.

Quick Summary

Target audience are folks who know how to code and who are interested in RF signal processing and software defined radio but didn't get a formal background in the area (usually found in electrical engineering and often at the grad level). So maybe a CS student or grad, or self taught programmer. But there's some flexibility.

Goal would be to cover a very mathematically heavy concept that is typically hard for students to absorb, but doing so with animations and examples, and we would want to pick a topic that is relevant in wireless/RF signal processing, not just some random obscure topic that isn't useful. Still TBD which one.

Target medium

It would be a video with a ton of animations, not unlike 3b1bs style, I've generated animations in python for my textbook (eg check out the one in the intro chapter) but haven't gone all the way and made a full video explaining one specific topic.

More details

There are several possible topics and I would brainstorm which one is best with the collaborator. May or may not be a topic covered in www.pysdr.org. 3b1b has covered a few DSP type topics so maybe one he hasn't covered yet.

Contact details

pysdr@vt.edu

jaredjbarnes commented 2 years ago

This would be amazing to work on. I am a software architect, and have been programming for almost 20 years. I have been writing an animation framework for over 8 years. I would love to work on a project like this and build an interactive web app that users could play with to understand this topic.

Here is my github account.

The latest thing I wrote of complexity was constant speed bezier curves, so I could animate anything along a path. I used Bernstein polynomials, Simpson Rule and Newtons method to make it all work.

Here is a link to the animation framework.

Let me know if you are interested.

777arc commented 2 years ago

@jaredjbarnes That's awesome, do you have an example of that animation/web app hosted somewhere? Also is it pure client side javascript that can be statically hosted?

jaredjbarnes commented 2 years ago

@777arc Most of my work was done in proprietary software so I can’t send you a link, but I’ll put something together and send you a link.

jaredjbarnes commented 2 years ago

Also, I have been making a site that I can host on github that will animate one function of x animating to another function of x. I'll keep you posted on that.

Jared

On Thu, Jun 16, 2022 at 2:58 PM Jared Barnes @.***> wrote:

I forgot I had this, you can click through the menu on the left to see a few examples.

https://jaredjbarnes.github.io/react-motion-ux/storybook/index.html?path=/story/makestyledtransition--initial-state

On Sun, Jun 12, 2022 at 4:18 PM Marc L @.***> wrote:

@jaredjbarnes https://github.com/jaredjbarnes That's awesome, do you have an example of that animation/web app hosted somewhere?

— Reply to this email directly, view it on GitHub https://github.com/leios/SoME_Topics/issues/85#issuecomment-1153306539, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAARUQUGFK22RAFM47PHBLLVOZO5DANCNFSM5YMDV4NQ . You are receiving this because you were mentioned.Message ID: @.***>

jaredjbarnes commented 1 year ago

I forgot I had this, you can click through the menu on the left to see a few examples.

https://jaredjbarnes.github.io/react-motion-ux/storybook/index.html?path=/story/makestyledtransition--initial-state

On Sun, Jun 12, 2022 at 4:18 PM Marc L @.***> wrote:

@jaredjbarnes https://github.com/jaredjbarnes That's awesome, do you have an example of that animation/web app hosted somewhere?

— Reply to this email directly, view it on GitHub https://github.com/leios/SoME_Topics/issues/85#issuecomment-1153306539, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAARUQUGFK22RAFM47PHBLLVOZO5DANCNFSM5YMDV4NQ . You are receiving this because you were mentioned.Message ID: @.***>