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semester or other student projects
Convolutional Neural Networks on Graphs and Stationarity
Grivaz, Thomas
December 1, 2016
The Fourier spectrum is often not sufficient to discriminate complex signals because it does not take into account higher-order moments. Wide Sense Stationarity is for sure not sufficient to characterize the signal as it considers only moments of order 2. The question we try to answer in this project is: does a graph convolutional neural network stationaries data, i.e., transform then non-linearly such that they become stationary?
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Name
report_v2.pdf
Access type
openaccess
License Condition
CC BY
Size
1.41 MB
Format
Adobe PDF
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