The Rice University DSP group has been conducting research in digital signal processing since 1968. Initially starting in filter design and FFT algorithms, the group has grown substantially over the past three decades, adding researchers working in image and video processing and coding, array processing, wavelets, computational imaging and photography, high-speed digital and analog circuits, and deep learning. A recent expansion has added new capabilities in machine learning and neuroengineering.

Current DSP research initiatives include:

Computational Sensing

Deep Learning

Machine Learning for Education

Support for current DSP research comes from NSF, AFOSR, ARO, ONR, DARPA, IARPA, NGA, and IBM.