Exploring Digital Communication Concepts to Improve Audio Watermarking System

This paper investigates the application of digital communication concepts, specifically spread spectrum and channel coding techniques, to an audio watermarking system that embeds messages in the time domain, with the objective of enhancing system performance. We focus on a spread spectrum-based watermarking system and conduct a thorough examination of the data payload, computational complexity, and imperceptibility of the system using various channel coding techniques. Our approach involves the implementation of three distinct channel coding techniques: extended Golay block code, convolutional code, and Low-Density Parity Check (LDPC) code. The results of our MATLAB simulations are presented in the paper, providing a comparative analysis of the benefits and drawbacks of each coding technique.