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#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
Machine Learning Street Talk (MLST)
Applying Convolution to Frequency Components with Fourier Transform
The case of forty eight transform involves localizing and breaking down frequencies of an audio signal. Similar to an equalizer on a radio, you amplify or diminish content in specific frequency bands. Applying the inverse forty a transform to the graph then allows us to modify the signal. This is based on the convolution theorem, which states that convolution in one domain is multiplication in the other domain. We have a simple recipe for achieving this.
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