The rapid change of wireless communications from simple radio communications to more complicated mobile handset with the provision and facility of more useful and attractive services like internet browsing, e-commerce, e-mail and video streaming made the concept of global village a reality. Reliable and fast data transmission over the longer distances at several hundreds of Megabits per second is now becoming more challenging in a developed society.

The existing prevailing wireless environment imposes fundamental restrictions on the capacity and data rate to the system designer and / or engineer. Therefore, it has provided incentive and motivation to the wireless researchers and system designers to search for new frontiers towards the user cooperation and spatial dimension to overcome these challenges.

The WSN Research Group develops signal processing algorithms that cover a wide variety of application areas including speech and image processing, wireless sensor networks, analog and digital communications, radar and sonar. Our prime focus is on algorithm development in general, with the applications serving as motivating contexts. Our approach to new algorithms includes some unconventional directions, such as algorithms based on fractal signals, chaotic behavior in nonlinear dynamical systems in addition to the more conventional areas of signal modeling, quantization, parameter estimation, sampling and signal representation. When developing new algorithms, we often look to nature for inspiration and as a metaphor for new signal processing directions.


  • To conduct research in the field of signal processing for 4G wireless communications and cooperative relay based networks

  • To present the results of the above research in national and international conferences

  • To arrange workshops, seminars, and Tutorials for the students in order to keep their knowledge updated in the field of wireless communications

  • To involve and train the junior faculty regarding how to conduct the research and inculcate the basic tools of teaching

  • To update the course outline and courses for undergraduate and graduate programs in the field of signal processing for wireless communications

  • To study the cutting edge technologies in field of Statistical digital signal processing and modeling

  • To produce quality research publications in conferences and Journals of international repute