Phase space methods and psychoacoustic models in lossy transform coding

TL;DR

This paper introduces a novel lossy audio coding method using phase space techniques and psychoacoustic models, linking time-frequency representations to perceptual thresholds for improved encoding.

Contribution

It applies Weyl symbol calculus to develop a new transform coding approach that incorporates psychoacoustic masking and perceptual entropy measures.

Findings

Establishes a connection between time-frequency masking and encoding

Provides a formalism for perceptual entropy measurement

Enhances audio compression by integrating psychoacoustic models

Abstract

I present a method for lossy transform coding of digital audio that uses the Weyl symbol calculus for constructing the encoding and decoding transformation. The method establishes a direct connection between a time-frequency representation of the signal dependent threshold of masked noise and the encode/decode pair. The formalism also offers a time-frequency measure of perceptual entropy.