Signal and Image Processing (SIP) Lab

The Signal and Image Processing (SIP) Lab at UTD was established in 2002 to conduct research in various aspects of signal and image processing. The SIP Lab current research thrusts are: (i) Development and real-time implementation of signal and image processing algorithms on mobile devices, in particular on smartphones, (ii) biomedical signal and image analysis. Current active projects include:

·         Real-time fusion of data from depth camera and wearable inertial sensor for robust gesture and action recognition 

·         Smartphone-based real-time implementation of signal processing pipelines of hearing aids and cochlear implants

·         Development and real-time implementation of background noise classification and voice activity detector 

·         Real-time on-the-fly unsupervised classification without knowing number of classes

SIP Lab is equipped with various smartphone and digital camera platforms for real-time implementation of signal and image processing algorithms on embedded processors such as ARM, DSP, FPGA, GPU.

The SIP Lab projects have been sponsored or supported by the following organizations:

Texas Instruments, National Instruments, National Science Foundation, UT Southwestern Medical Center, National Institutes of Health, Texas Medical Research Collaborative, Cochlear Limited, and UTD Erik Jonsson School of Engineering and Computer Science.

 ECE-Department | University of Texas at Dallas