Signal Processing for Communications Lab

As the name of the lab suggests, we are interested in the areas of digital signal processing, information theory, estimation theory, and their applications in the optimization of (mainly, wireless) communication systems. Current research spans a range of topics including MIMO communications with channel state feedback, channel estimation and joint channel estimation and data detection, cognitive radio, energy harvesting communications, compressive sensing and sparse Bayesian learning, scheduling and interference management in wireless networks.

Research activities in the signal processing for communication lab are guided by Dr. Chandra R. Murthy.