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Student Final Talks - EE274: Data Compression, Theory and Applications
Summary
Packard 101
Dec
8
Date(s)
Content
The students from the EE274: Data Compression, Theory and Applications, will be presenting short 5-min lightning talks on their final projects for the course. The talks will range from implementations of various compression algorithms as well as new applications.
- RL for compression
- LZ77 optimized implementation
- Lossless Image compression (PNG, QOI...)
- Compressor as Estimator for Neural Science
- Bits back coding etc.
- MRI data compression
- Reproducing Learnt Image Compression in SCL
- Adaptive Huffman Decoding
- Tabular data compression using Chow-Liu trees
- Perceptual Image Metrics
- Alias Coding
- HW implementation of Huffman, tANS/rANS
- AAC (advanced audio codec)
- LZ78 optimized implementation
- Invesitgation of lossy compression as denoiser for audio
- Lossy compression for Quantum computing
- Lossy text compression
- CTW