This document provides an overview of digital audio compression techniques. It discusses how audio compression removes redundant or irrelevant information to reduce required storage space and transmission bandwidth. It describes how psychoacoustic modeling is used to eliminate inaudible components based on principles of masking. Spectral analysis is performed using transforms or filter banks to determine masking thresholds. Noise allocation quantizes frequency components to minimize noise while meeting thresholds. Additional techniques like predictive coding, coupling/delta encoding, and Huffman coding provide further compression. The encoding process involves analyzing, quantizing, and packing audio data into frames for storage or transmission.