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Search - "signal processing"
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*fortunes and tons of research spent on machine learning, signal processing and pattern recognition*
People:5 -
TLDR: programming helped with my math weakness
I've always been bad at math. I always failed my math quizzes, and to be honest the only thing that I remember from that time was that I hated it, I didn't want anything to do with it, to hell with functions and formulas and all of that garbage.
Fast forward a couple of years. I just started my masters degree in machine learning and I'm sort of inclined to applications of deep learning in signal processing. Currently I'm writing a fourier transform in raw python and I've never had more fun. I feel like programming has helped me a lot with math, being able to see how each component behaves when you write a function helps a lot! Being able to plot things helps a lot! Not having to imagine mathematical functions as esoteric mystical wonders but being able to split them up into small components and seeing what you're doing wrong HELPS. A. LOT.
Just felt like sharing. I feel like programming has made me a generally smarter person, in regards to how I approach problems and think about stuff.4 -
What you are expected to learn in 3 years:
power electronics,
analogue signal,
digital signal processing,
VDHL development,
VLSI debelopment,
antenna design,
optical communication,
networking,
digital storage,
electromagnetic,
ARM ISA,
x86 ISA,
signal and control system,
robotics,
computer vision,
NLP, data algorithm,
Java, C++, Python,
javascript frameworks,
ASP.NET web development,
cloud computing,
computer security ,
Information coding,
ethical hacking,
statistics,
machine learning,
data mining,
data analysis,
cloud computing,
Matlab,
Android app development,
IOS app development,
Computer architecture,
Computer network,
discrete structure,
3D game development,
operating system,
introduction to DevOps,
how-to -fix- computer,
system administration,
Project of being entrepreneur,
and 24 random unrelated subjects of your choices
This is a major called "computer engineering"4 -
I hate looking for sources to cite in my thesis.
Either it's a book for 100€ or a paper thst I need to subscribe to IEEE xplore to..
And most of the stuff on Springer Link (which I get free access through uni) is behind a pay wall anyway...
On that note, does anyone happen to know decent sources on basic signal processing and image processing?
I.e. DCT, DFT transformations and so on19 -
aagh fuck college subjects. over my last 4 years and 7 sems in college, i must have said this many times : fuck college subjects. But Later i realize that if not anything, they are useful in government/private exams and interviews.
But Human computer Interaction? WHAT THE FUCK IS WRONG WITH THIS SUBJECT???
This has a human in it, a comp in it, and interaction in it: sounds like a cool subject to gain some robotics/ai designing info. But its syllabus, and the info available on the net , is worse than that weird alienoid hentai porn you watched one night( I know you did).
Like, here is a para from the research paper am reading, try to figure out even if its english is correct or not:
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Looking back over the history of HCI publications, we can see how our community has broadened intellectually from its original roots in engineering research and, later, cognitive science. The official title of
the central conference in HCI is “Conference on Human Factors in Computing Systems” even though we usually call it “CHI”. Human factors for interaction originated in the desire to evaluate whether pilots
could make error-free use of the increasingly complex control systems of their planes under normal conditions and under conditions of stress. It was, in origin, a-theoretic and entirely pragmatic. The conference and field still reflects these roots not only in its name but also in the occasional use of simple performance metrics.
However, as Grudin (2005) documents, CHI is more dominated by a second wave brought by the cognitive revolution. HCI adopted its own amalgam of cognitive science ideas centrally captured in Card, Moran & Newell (1983), oriented around the idea that human information processing is deeply analogous to computational signal processing, and that the primary computer-human interaction task is enabling communication between the machine and the person. This cognitive-revolution-influenced approach to humans and technology is what we usually think of when we refer to the HCI field, and particularly that represented at the CHI conference. As we will argue below, this central idea has deeply informed the ways our field conceives of design and evaluation.
The value of the space opened up by these two paradigms is undeniable. Yet one consequence of the dominance of these two paradigms is the difficulty of addressing the phenomena that these paradigms mark as marginal.
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For anyone interested in Digital Signal Processing, I wrote a little tool in C[1] that implements the FFT algorithm and takes audio samples to visualise the spectrum using raylib.
I might later add low pass and high pass filters.
[1]: https://github.com/mirimmad/FFTViz8 -
Just had to type a 12x12 matrix by hand.. Bleh
I didn't choose the engineering lyfe, the engineering lyfe chose me -
My life has turnt into a dangerous signal processing. Well, nothing out of usual just turn me into a hole.
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Sophomore year starting soon so I'm looking for new project (s) to complete in parallel with the studies.
Some are more design-y and some more backend-y but I recently started getting better at designing so :)
1) Learn some fragment shader stuff. I've always been messing around with graphics and have a game on steam, so I think that's a good idea to be paired with signal processing.
2) Reactive web services. Preferably with spring-boot or vert.x but
3) I would also like to dive into golang (and make some reactive thing with it)
4) WebAssembly seems nice... But I got some concerns
5) exercise making wireframes -> CSS (with some js)
6) I've never really done any real backed work with nodejs, except serving and aot compiling js, or doing gulp tasks
7) Implementing a whole project, or a fraction of it as serverless on aws
* I'm definitely going to use a couple very simple services to make a docker swarm with load balancing, etc, just because I know how everything works but got no practical knowledge
8) Design an esports jersey for the university department I'm in (shouldn't take long)
So what do you guys think? Recommendations are welcome :)
P.S. last year in review:
> A webapp running on a raspberry pi powering a reflex testing game on gpio (java/spring-boot , codename: buttonmasher)
> small Elastic search cluster to monitor some random university servers through kibana dashboards
> laser tracking on wall of *any* colour and variable light conditions via a webcam (opencv) , controlling the mouse pointer, whether you run it against a projector or any wall
> jstrain.herokuapp.com => a small JavaScript powered tool with a DSL to help you train more efficiently without a coach
> Various random Photoshop stuff