Dr. Branislav Vuksanovic, University of Portsmouth, Portsmouth, UK
Biography: Branislav Vuksanovic graduated from the University of Belgrade, Serbia with degree in Electrical and Power Engineering. He holds an MSc degree in Measurement and Instrumentation from South Bank University, London and a PhD in Adaptive Signal Processing from the University of Huddersfield, UK. Previously, he has worked as a Project and Design Engineer for Croatian Electricity Board in Osijek, Croatia.
During his academic career he has worked as a Research Fellow at Sheffield and Birmingham Universities on Optical Brain Imaging and Medical Video Compression projects. He has also worked as a Lecturer at the University of Derby where he was a member of Sensors and Controls Research Group. Currently he works as a Senior Lecturer at the University of Portsmouth, School of Engineering.
Branislav has published numerous papers in the field of active noise control, biomedical signal processing and pattern recognition for intrusion detection and knowledge-based authentication. He has also published a book in Digital Electronics and Microcontrollers field. He has won grants and has been visiting research fellow at the University of New South Wales in Australia and University of Alcala de Henares in Spain. Dr Branislav Vuksanovic is a member of IET, ILT and IACSIT. His current research interests are in the application of pattern recognition techniques for power systems and analysis of ground penetrating radar as well as biomedical ECG data.
Speech Title: Adaptive Filters – Theory and Practice
Abstract: First part of this talk will cover basic theory and some applications of a special group of algorithms and techniques used for digital signal processing known as adaptive digital filters. Those filters differ from the ordinary digital filters due to the fact that they can change their behaviour and properties during the operation. This leads to interesting properties of those algorithms and a wide range of applications. Main theory and rules behind the adaptation of those filters to changing operating conditions will be described in this talk and the equations used to implement some basic adaptive algorithms given.
Second part of the talk will focus on configurations in which those filters can be deployed and discuss some of the applications such are active noise control and system identification in more details. Finally, multiple-channel active noise control system designed to generate zones of silence over a wider area will be described and some results illustrated.