Questions tagged [signal-processing]
For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.
20
questions
2
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0answers
22 views
What are some of the main high level approaches to applying ML on kinematic sensor data?
I've just started a project which will involve having to detect certain events in a stream of kinematic sensor data. By searching through the literature, I've found a lot of highly specific papers, ...
0
votes
0answers
48 views
Deep Learning based image restoration using multiple frames
Suppose we have a sequence of still images each of which has been contaminated by some particles(ex, dust/sand/smoke) making the images very poor in certain areas.
What architecture would be best to ...
0
votes
1answer
24 views
Which type of feature extractor do you suggest to classify sensor data?
I have IMU (Inertial Measurment Unit- 6 axis) sensor data. The sensor attached on a car and 7 different drivers wipe on same path. I want to extract features and classify drivers. Which type of ...
0
votes
0answers
30 views
How to detect known pattern in a huge signal
What AI method can I use to detect known pattern in a large signal?
This topic is a bit theoretical, but I will make it easier to understand given the following example:
DGAWILLYOUEVERDGQLYNOTICEITPKL
...
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vote
0answers
19 views
Feature extraction for exponentially damped signals
I am looking into exponentially damped signals where it is a stationary signal (after implementing the Adfuller statistical test) and I would like to look into how can I extract meaningful features ...
5
votes
2answers
621 views
Aren't all discrete convolutions (not just 2D) linear transforms?
The image above, a screenshot from this article, describes discrete 2D convolutions as linear transforms. The idea used, as far as I understand, is to represent the 2 dimensional $n$x$n$ input grid as ...
1
vote
0answers
22 views
What's the best method to predict/generate signal from one sensor (source) to signal from another another (target)?
I was wondering what is the best method out there to find relationship between two 1D signals so that I can predict/generate one (source) from the other (target). For example, let's say that in ...
2
votes
0answers
27 views
Determine Frequency from Noisy Signal With Neural Networks (With Adeline Model)
I'm trying to determine the frequency from a signal with NN. I'm using the Adeline model for my project and I'm taking a few samples in each 0.1-volt step in a true signal and a noisy one.
First ...
3
votes
1answer
52 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
votes
4answers
118 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 (...
1
vote
1answer
71 views
How can I combine the readings of multiple lidars into 1 point cloud? [closed]
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
161 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
votes
0answers
25 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 ...
3
votes
1answer
184 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
1k 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
votes
2answers
200 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
448 views
Is there a way to perform pattern recognition without a labeled 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
131 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
353 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
votes
2answers
144 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 ...
