Coded audio carries maximum information when the signal is maximally surprising
Evidence
So to maximize the information carried by our coded audio signal, we first need to maximize the surprise value of the audio signal. This is done by the signal redundancy removal stage. — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2594
Categorization
- DEFINE: Defines the inverse relationship between redundancy and information content in coded audio.
Related
- Redundancy removal effectiveness trades off against the resources needed to encode side information (similarity 0.84)
- Efficient audio coding discards predictable signal components and encodes only novelty (similarity 0.84)
- Perceptual coding works by maximizing the surprise value of coded signals (similarity 0.83)
- Audio symbols with high probability carry less information and need fewer bits (similarity 0.82)
- Audio compression maximizes information by encoding only unpredictable signal parts (similarity 0.82)
- Lossless audio coding works by predicting and stripping signal correlations (similarity 0.80)
- Audio coding aims to reconstruct signals while other processing modifies them (similarity 0.79)
- Entropy encoding maximizes information carried by each bit pattern (similarity 0.79)