Questions tagged [spectral-analysis]

For questions related to Spectral analysis or Spectrum analysis is a analysis in terms of a spectrum of frequencies or related quantities such as energies, eigenvalues, etc. In specific areas it may refer to: Spectroscopy in chemistry and physics, a method of analyzing the properties of matter from their electromagnetic interactions.

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FastGAN implementation has redundant SpectralNorm followed by BatchNorm?

I am implementing a version of FastGAN, and it seems like (see the official repo) they use a Spectral norm directly followed by a Batch norm. Doesn't the spectral norm get fully cancelled by the ...
Ronald's user avatar
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Feature extraction from log-mel spectrograms using CNNs

I am currently working on an ASR-related project in which I would like to combine Convolutional Neural Network with GRU Network and CTC loss function. The idea is to use the CNN to extract ...
conyai's user avatar
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How to prepare audio data for deep learning?

Audio data is typically an array with the waveform represented by values from -1 to 1. There are two issues with that: if all values are inverted, e.g. -1 becomes 1 and 1 becomes -1, the audio doesn'...
nikishev.'s user avatar
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Why should one focus on spectral operations as a computer vision researcher?

While reading about various types of mathematical operations on tensors, I encountered spectral operations for the first time. The description is as follows (p. 53 of this book) Spectral ops - ...
hanugm's user avatar
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How does graph Fourier transform work when multiple signals present on each node?

Context: I was reading the following set of notes (page 83): here and it says: Thus, the Fourier transform of signal (or function) $ \mathbf{f} \in R^{|V|} $ on a graph can be computed as $$ \mathbf{...
Rocky the Owl's user avatar
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How does Chebyshev approximation of spectral convolution work?

I was reading the following paper: here. In it, it talks about spectral graph convolutions and says: We consider spectral convolutions on graphs defined as the multiplication of a signal $x \in R^N$ (...
Rocky the Owl's user avatar
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Are spectral approaches to Graph Neural Networks still considered?

I've been reading several papers and reviews about Graph Neural Networks, and I still feel a bit confused about the difference between the two approaches, and also if the spatial approaches have ...
James Arten's user avatar
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What exactly is the eigenspace of a graph (in spectral clustering)?

When we find the eigenvectors of a graph (say in the context of spectral clustering), what exactly is the vector space involved here? Of what vector space (or eigenspace) are we finding the ...
Manish Kausik Hari Baskar's user avatar
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Understanding the node information score in the paper "Hierarchical Graph Pooling with Structure Learning"

The paper Hierarchical Graph Pooling with Structure Learning (2019) introduces a distance measure between: a graph's node-representation matrix $\text{H}$, and an approximation of this constructed ...
brazofuerte's user avatar
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