Multimodal Linguistics in Multimedia Signal Processing: Analyzing Text, Audio, and Visual Signals in Communication Systems

Abstract

As a result of mixing linguistics, signal processing and machine learning, multimodal linguistics is becoming an important field for improving the performance of modern communication technologies. Here, we explore how multimodal linguistics applies within frameworks for multimedia signal processing and how this applies to antenna-assisted communication systems. It examines in detail the role of MIMO and beamforming antenna arrays driven by visible light communication (VLC) technologies in ensuring superior quality, better utilization of bandwidth and more reliable resolution for multimodal transmissions. The study models the transmission of signals, studies channel behavior whether there is line-of-sight (LOS) or not and simulates using antenna controllers for beamforming using gestures, speech and emotional data. Combining language-based techniques, flexible antennas and smart wireless design, this paper achieves intelligent systems that can optimize signals for diverse situations, provide quick transmission and operate well even in challenging wireless areas. The approach links meaning with action in communication which benefits next-generation IoT, VLC and HMI.