Expert Talk on
Array Signal Processing for Acoustic and Brain Source Localization held
8th August 2024
Dr. Lalan Kumar (Associate Professor, Department of Electrical Engineering) IIT Delhi delivered a comprehensive lecture on "Array Signal Processing for Acoustic and Brain Source Localization" at Dronacharya College of Engineering on 8 Aug 2024.
The session was aimed at students from the Electronics and Communication Engineering (ECE), Electrical and Electronics Engineering (EEE), Students of Electronics and Computer Science (ECS) departments, providing them with valuable insights into advanced signal processing techniques and their practical applications.
Dr. Kumar ( IIT Delhi) discussed the significance of Array signal processing in modern engineering and its applications across various fields. He explained how sensor arrays are used to capture and analyze signals from multiple sources. The lecture covered techniques for estimating the direction of signal sources, crucial for applications in radar, communication systems, and acoustics. Dr. Kumar elaborated on beamforming, a method used to direct the reception or transmission of signals in specific directions, enhancing clarity and accuracy in signal processing . He also included a detailed explanation of the sampling theorem, Aliasing and reconstruction of the signal.
A significant part of the lecture was devoted to brain source localization, focusing on the use of EEG data to accurately map brain activity. This has important implications for developing Brain -Computer Interfaces(BCIs) and neuroimaging technologies
Dr. Kumar explored the application of these techniques in speech processing, biomedical engineering, and radar systems, demonstrating the broad relevance of array signal processing.
The lecture emphasized the interdisciplinary nature of the field and the potential for collaboration across various engineering domains to drive innovation.
Conclusion: Dr. Kumar’s lecture provided a comprehensive understanding of array signal processing and its diverse applications. The session was both informative and engaging, offering students valuable insights into cutting-edge research and practical implementations in this evolving field The demo session featured three innovative projects: Recording Environment Audio Zooming, Air writing Recognition, and Direction Follower. These projects showcase advancements in audio processing, gesture recognition, and tracking technologies. The session aimed to highlight the functionality, applications, and potential improvements of these technologies. The session was informative and engaging, offering students a glimpse into cutting-edge research and practical implementations in this evolving field. Brain-Computer Interfaces (BCIs) and neuroimaging technologies.