Signal Processing for Audio and Biomedical Applications
August 14, 2025 · 7:30 AM - 10:30 AM @ Moratuwa, Department of Electronic and Telecommunication Engineering
Description
This is the second workshop of the 11 th Moratuwa Engineering Research Conference 2025 (MERCon 2025) which was organized by the Engineering Research Unit, University of Moratuwa. Abstract Signal processing is an essential engineering discipline, enabling the extraction of meaningful information from complex, noise-corrupted signals. In recent years, there have been significant developments in signal processing techniques for two key areas: biomedical signals and acoustic signals. Audio and acoustic signal processing has applications spanning telecommunications, bioacoustics, and machine audition. By enabling sound manipulation and enhancement, these fields facilitate the development of innovative solutions for hearing aids, noise cancellation, and entertainment, ultimately improving auditory interactions in everyday life. Biomedical signals play a vital role in both medical diagnostics and physiological research. Biomedical signals range from the relatively simple PPG (photoplethysmography) to the more complex EEG (electroencephalography). Since biomedical signals are often weak and highly corrupted by noise, they require robust, application specific processing algorithms. This workshop will provide an introduction to signal processing fundamentals for audio and biomedical applications, focusing on hands-on learning in order to equip participants to solve real-world engineering problems. Goals The workshop aims to introduce participants to the fundamentals of signal processing of biomedical and audio applications. Furthermore it aims to provide the tools for participants to design systems or algorithms to analyze biomedical and audio signals in order to apply these techniques for real-world scenarios. Objectives ● Understand the fundamentals of biomedical and spatial audio signals and the impact of noise ● Implement denoising, filtering, and source separation techniques ● Apply signal processing pipelines to real-world problems ● Discuss current challenges and future directions Expected Outcomes ● Gaining practical skills in implementing state-of-the-art signal processing algorithms ● Opportunity to network with other participants and experts in the field ● Facilitating knowledge transfer and research findings Audience Target Audience: – This workshop mainly targets students, researchers, and practitioners who are new to their respective fields of study. Workshop Outline Duration: 3 hours Format: In-person with interactive hands-on exercises. Activities and Schedule: 1. Biomedical Signal Processing [1.5 hour] • Filtering, denoising and artifact rejection of biomedical signals • Time-frequency analysis and feature extraction of biomedical signals • Interpretation of biomedical signals and real-world examples 2. Audio Signal Processing [1.5 hours] • Spatial audio recording and reproduction • How can speech be enhanced in extremely noisy environments? • Current and future work on “Machine Audition” with example applications
Agenda
Duration: 3 hours Format: In-person with interactive hands-on exercises. Activities and Schedule: 1. Biomedical Signal Processing [1.5 hour] • Filtering, denoising and artifact rejection of biomedical signals • Time-frequency analysis and feature extraction of biomedical signals • Interpretation of biomedical signals and real-world examples 2. Audio Signal Processing [1.5 hours] • Spatial audio recording and reproduction • How can speech be enhanced in extremely noisy environments? • Current and future work on “Machine Audition” with example applications