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I wrote the question precisely to learn more about these topics. Why do you think GAN doesn't make sense in that context? There are many papers about using GANs

I wrote the question precisely to learn more about these topics. Why do you think GAN doesn't make sense in that context? There are many papers about using GANs to clean radio signal, not this one specifically but as an example of a GAN/radio paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263619/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263619/

p1esk 7y ago
In the paper you linked to a GAN is used to generate fake data. This fake data can help when training a classifier, just like any other data augmentation method. I could not find any papers about using GANs to clean up radio signals. It could probably work if you have large datasets of both clean and noisy signals, but in this context you most likely don’t. And even if you did what makes you think denoising with GANs would work better than traditional methods? Just because it’s a hot buzzword doesn’t mean you should use it.
- TomMarius 7y ago
  Why are you condescending me? I studied applications of GAN nets for dozens of hours (still an amateur beginner of course). I didn't even know it was such a buzzword when I got started as I don't follow twitter etc. Here is a paper that talks about exactly what I am proposing, using GANs, minus evolved antennas: https://arxiv.org/abs/1806.01875 https://arxiv.org/abs/1806.01875 (it is no secret that this paper has inspired me to write this question - my thoughts were about improving it with evolved antennas). About the clean data requirement, it is common practice to record as much as possible once doctors open somebody's skull because such opportunity is scarce. So people are working on it.
  - p1esk 7y ago
    I apologize, for some reason I was in confrontational mood. This paper is also about using GANs to generate fake data. Here’s the thing - to generate high quality fake data you need to have a lot of real data, but if you do then you don’t really need fake data. Re denoising with GANs: do you have a lot of clean data (eg from inside the skull) that is equivalent to the noisy data (from outside the skull)? Let’s assume you do. Do you have any example of someone using GANs to clean those signals? Or any radio signals? What makes you think it would work better than any other existing denoising methods?

p1esk 7y ago

In the paper you linked to a GAN is used to generate fake data. This fake data can help when training a classifier, just like any other data augmentation method. I could not find any papers about using GANs to clean up radio signals. It could probably work if you have large datasets of both clean and noisy signals, but in this context you most likely don’t. And even if you did what makes you think denoising with GANs would work better than traditional methods? Just because it’s a hot buzzword doesn’t mean you should use it.

TomMarius 7y ago
Why are you condescending me? I studied applications of GAN nets for dozens of hours (still an amateur beginner of course). I didn't even know it was such a buzzword when I got started as I don't follow twitter etc. Here is a paper that talks about exactly what I am proposing, using GANs, minus evolved antennas: https://arxiv.org/abs/1806.01875 https://arxiv.org/abs/1806.01875 (it is no secret that this paper has inspired me to write this question - my thoughts were about improving it with evolved antennas). About the clean data requirement, it is common practice to record as much as possible once doctors open somebody's skull because such opportunity is scarce. So people are working on it.
- p1esk 7y ago
  I apologize, for some reason I was in confrontational mood. This paper is also about using GANs to generate fake data. Here’s the thing - to generate high quality fake data you need to have a lot of real data, but if you do then you don’t really need fake data. Re denoising with GANs: do you have a lot of clean data (eg from inside the skull) that is equivalent to the noisy data (from outside the skull)? Let’s assume you do. Do you have any example of someone using GANs to clean those signals? Or any radio signals? What makes you think it would work better than any other existing denoising methods?