Coding
Lecture notes
Lossy compression
Lossy compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. This is opposed to lossless data compression which does not degrade the data.
- Lossy compression (wiki)
- List decoding
- On Lossy Compression
- Adaptive Coding and Prediction
- List decoding for noisy channels
- Complexity distortion theory
- The evolution of lossy compression
- Learning Better Lossless Compression Using Lossy Compression
- From Bi-immunity to Absolute Undecidability
- Singleton-type bounds for list-decoding and list-recovery
- List decoding: algorithms and applications