The Department of Electronics & Communication Engineering of Mangalore Institute of Technology & Engineering (MITE) organized a two-day workshop titled “Igniting Minds: Hands-On Workshop on Signal Analysis” on 15th and 16th December 2025, from 9:30 AM to 4:00 PM. The workshop was designed to provide students with a strong foundation in signal analysis concepts, emphasizing both theoretical understanding and practical implementation. The primary objective of the workshop was to bridge the gap between classroom learning and real-world signal processing applications through interactive lectures and hands-on MATLAB-based demonstrations.
The sessions were conducted by Dr. Aparna P, Associate Professor, Department of Electronics & Communication Engineering, NITK Surathkal. Dr. Aparna P is an Associate Professor in the Department of Electronics and Communication Engineering at NITK, Surathkal. She completed her Ph.D. in Multimedia Signal Processing from NITK in 2012. Her research interests include medical image processing, video compression, speech enhancement, and machine learning. She has successfully supervised seven Ph.D. scholars and is currently mentoring two more. Dr. Aparna has published more than 50 research papers in reputed SCIE journals and IEEE conferences and has led several sponsored research projects funded by ISRO, DRDO, and the Ministry of Electronics and Information Technology (MeitY). She has delivered invited talks, chaired technical sessions at national and international conferences, and organized numerous workshops and STTPs in the areas of signal processing and embedded systems. She is also a recipient of the Best Paper Award at an IEEE international conference.
The first day of the workshop focused on fundamentals of signal analysis in the time domain. The resource person introduced participants to the importance of signal analysis in real-time applications using practical examples such as audio signals and ECG signals. Concepts such as classification of signals into one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) signals were discussed in detail. The session further covered essential topics including signal sampling, quantization, digitization, and reconstruction. A hands-on MATLAB session followed, where participants were guided through the implementation of sampling and reconstruction techniques using real-time audio signals. The interactive exercises enabled students to gain practical exposure and strengthen their conceptual understanding.
On the second day, the workshop emphasized frequency-domain analysis of signals. The resource person demonstrated how frequency-domain techniques help in identifying signal components, especially in the presence of noise, which is often difficult to interpret using time-domain analysis alone. A noisy audio signal was analysed to illustrate the effectiveness of frequency-domain representation. Further, the concept of signal energy and its significance in signal processing applications was explained. The session concluded with a demonstration of energy distribution using spectrograms, helping participants visualize signal behaviour in both time and frequency domains.
The key takeaways from the workshop included a clear understanding of time-domain and frequency-domain signal analysis, practical experience in MATLAB-based signal processing, improved ability to analyze noisy signals, and enhanced comprehension of signal energy and spectrogram analysis. The workshop significantly strengthened the participants’ fundamentals and boosted their confidence in applying signal processing concepts to real-world engineering problems.