Differentiable fast wavelet transforms in PyTorch with GPU support.
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Updated
Sep 12, 2025 - Python
Differentiable fast wavelet transforms in PyTorch with GPU support.
A re-implementation of the Wavelets package using Cython to improve the speed.
A comparative analysis of Fast Wavelet Transform (FWT) compression versus traditional compression methods on network performance, focusing on throughput and latency. This project aims to explore the effectiveness of FWT in modern digital communication environments.
Applying Discrete Wavelet Transform (DWT) for neural network model compression.
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