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AUTHOR(S):

Ismail Olaniyi Muraina, Moses Adeolu Agoi, Olayemi Muyideen Adesanya, Abdulhameed Oluwatosin Amao

 

TITLE

Multi-Modal Signal Processing and Application in Communication

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ABSTRACT

Multi-modal signal processing has emerged as a central and important technology in modern communication systems, blending information from various signal sources to improve communication efficiency, reliability, and accuracy. This paper explores the foundations of multimodal signal processing, its significance in communication, and its practical applications. The study employs a descriptive research design using a purposive sampling technique to select respondents whose work is closely related to communications. 211 participants formed the population sample for the study with the survey instrument designed and administered via Google Forms which took 4 weeks. The validation of the instrument was done with the help of engineering colleagues while the reliability index was obtained as 0.789. The analysis was done using the SPSS 23.0 version. The study provides a comprehensive analysis of the methodologies involved, including data fusion, feature extraction, and machine learning algorithms tailored for multi-modal communication. Various application domains, such as audio-visual communication, biometric authentication, and human-computer interaction, are discussed to highlight the benefits of integrating different signal modalities. The study contributes to the understanding of multi-modal systems and their role in shaping the future of communication technologies.

KEYWORDS

Multimodal Signals, Signal Processing, Communication, Single-Mode Signals, Multi- Dimensional Structure

 

Cite this paper

Ismail Olaniyi Muraina, Moses Adeolu Agoi, Olayemi Muyideen Adesanya, Abdulhameed Oluwatosin Amao. (2024) Multi-Modal Signal Processing and Application in Communication. International Journal of Cultural Heritage, 9, 49-64

 

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