Prof. Ranjit Gharpurey has been awarded a research grant from the National Science Foundation in the area of architectures for analog-to-digital conversion. The research is a collaborative effort with Prof. Peter Kinget of Columbia University, with UT as the lead proposal.

Innovations in signal digitization techniques can have a broad societal and scientific impact, since this capability is required in multiple areas including computing, wireless and wireline communications, sensors, medicine, and fundamental science.

The research aims to investigate and develop broadband analog-to-digital converters using iterative filter bank architectures in order to overcome the limitations of traditional time-domain samplers. The goal is to develop scalable architectures that can be utilized over a wide range of conversion rates and resolution.