Questions tagged [signal-processing]
For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.
14
questions
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28 views
What AI technologies are well suited for audio signal processing?
I have a firm grasp on genetic programming, PSO, trees and search strategies like Minimax, etc. I haven't yet got to the point of learning about neural networks beyond the absolute basics.
A project ...
2
votes
1answer
31 views
Analyzing vibration using machine learning
I would like a few suggestions on an idea that I have -
I am trying to make a musical instrument (percussion), whilst just having a PVC disc. I am hitting the disc in a variety of styles (in order to ...
0
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2answers
42 views
How can I remove the noise from an EEG signal?
I am working on a project that takes signals from the brain and preprocesses them and then makes the machine learn about what human is thinking about. But I am struck in preprocessing of signal (...
0
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1answer
50 views
How can I combine the readings of multiple lidars into 1 point cloud?
I have a car with 8 lidars, each with a field of view of 60 degrees. My car looks like this:
How can I merge all the lidar readings into 1 point cloud?
3
votes
2answers
83 views
Can a neural network be used to detect sine waves?
I am recording the vibrations of an AC Motor (50Hz Europe) and I am trying to find out whether it is powered on or not. When I record these vibrations, I basically get the vibration values ($-1$ to $+...
2
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0answers
18 views
How can I detect fast and slow motion in videos?
I'm trying to detect if a given video shot is fast or slow motion. Basically, I need to calculate a "video motion" score in a given video sequence, meaning how fast or slow motion the video is. For ...
0
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1answer
56 views
Can AI be used to reverse engineer a black box?
A while back I posted on the Reverse Engineering site about an audio DSP system whose designer had passed away and whose manufacturer no longer had source code (but the question was deleted). ...
1
vote
1answer
233 views
What is a temporal feature?
What is a temporal feature, what features make something temporal in nature? Is this problem agnostic? How does it change from different fields of study?
3
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2answers
150 views
Can I reduce the “number of weights” in CNN to 1/3 by restricting the input as greyscale image?
In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?
This question helps me a lot.
Let, I have RGB input ...
4
votes
1answer
385 views
CNN for pattern recognition without a training set
I have a 10gb file of a time series 1D signal. I want to find some patterns within this signal, I know CNN's are great for this but the problem is I don't have any training data.
Now I could of ...
1
vote
2answers
121 views
Is there a “better” (signal-based) language for artificial intelligence
I assume, there must be "signal-driven" and maybe also real-time programming language, which based on connectivy-data more than variables (int, string, etc).
I would like to have a language without ...
9
votes
1answer
323 views
How much of a problem is white noise for the real-world usage of a DNN?
I read that deep neural networks can be relatively easily fooled (link) to give high confidence in recognition of synthetic/artificial images that are completely (or at least mostly) out of the ...
2
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1answer
41 views
Hardware immutability and sentience
Hardware comes in two forms, basically: immutable, such as RAM, and mutable, such as FPGAs.
In animals, neurological connections gain in strength by changing the physical structure of the brain. This ...
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vote
2answers
138 views
Are there any studies which attempt to use AI to guess the human emotion based on the brainwaves?
Have there been any studies which attempted to use AI algorithms to detect human thoughts or emotions based on brain activity, such as using BCI/EEG devices?
By this, I mean simple guesses such as ...
