Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [signal-processing]

For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.

Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying, "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements. For example, signal processing techniques are used to improve signal transmission fidelity, storage efficiency, and subjective quality, and to emphasize or detect components of interest in a measured signal.

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Is it possible to clean up an audio recording of a lecture using some type of AI system?

Is it possible to clean up an audio recording of a lecture from a smartphone (i.e. remove the background noise) using some type of AI system?
Thibault Molleman
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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 confidence subject. Personally, I don't really see a…
Kozuch
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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 a vector of $n^2$ length, and the $m$x$m$…
stoic-santiago
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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 course, spend an entire week slowly making 100…
Kachinsky
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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 image. (3 channels) Then each filter has n×n weights…
Jun
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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 produce a variety of sounds correspondingly),…
comodo_dragon
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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 $+1$) over time. I would like to develop a program…
GatCode
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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). Basically, the audio filter settings are passed from a…
chmedly
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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, but no general reviews. If I search up on computer…
Alexander Soare
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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 question: am I wrong? Second question: my network…
danial mirzaei
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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 instance, if a video is about a car racing or…
Tina J
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AI in signal processing: how to reduce data volume

I am studying 5G technology, where AI/ML is integrated to imporve performance. I am not expert in AI/ML and I am sorry if my question is stupid. Honestly i am quite not sure If I understand the main concept of AI My question: AI/ML can predict…
Noel Miller
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Which neural network/ML framework to use for a partial amount of a fixed-time amount of sensor data?

Assume I've run a set of initial experiments. For each experiment, I have a set of input signals $I_e(i, t)$, and output signals $O_e(j, t)$ for $i \approx 10$, $j \approx 10$, and $0\leq t\leq t_{max}=7200$ for half-second timesteps. This gets me a…
Benjamin Cecchetto
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How can I learn to transform one input signal (time series) into another?

I'm posting this question here because I've been trying in vain to solve a problem for weeks and I hope some of you might have some useful suggestions. Basically, the problem is as follows. I have 7 quantities that vary simultaneously as time…
balchicc
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How does using complex weights in a neural network affect performance?

If you switch a neural network from real weights to complex weights, you're roughly doubling the size of the network, and increasing the computational load by a factor of 2 to 4. My question is, in general, roughly how does the benefit of using…
chausies
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