Description
The field of signal and image processing encompasses the theory and practice of algorithms and hardware that convert signals produced by artificial or natural means into a form useful for a specific purpose. The signals might be speech, audio, images, video, sensor data, telemetry, electro-cardiograms, or seismic data, among others; possible purposes include transmission, display, storage, interpretation, classification, segmentation, or diagnosis. Faculty members in this field span the areas of digital signal processing, statistical signal processing, image processing, and speech processing.
Current research in digital signal processing includes robust and low complexity filter design, signal reconstruction, filter bank theory, and wavelets. In statistical signal processing, faculty interests include adaptive filtering, learning algorithms for neural networks, spectrum estimation and modeling, and sensor array processing with applications in sonar and radar. Image processing work is in restoration, compression, quality evaluation, computer vision, and medical imaging. Speech processing research includes modeling, compression, and recognition. Also faculty members are actively involved in the research and design of special purpose electronic and optoelectronic hardware for efficient implementation of signal and image processing algorithms.
Additional information for students considering the Signal and Image Processing field.
Affiliated Faculty
| (research group: Center for Wireless Communications) | |
| (research group: Ultrafast and Nanoscale Optics Group) | |
| (research group: Computer Audition Laboratory) | |
| (research group: DSP Group) |
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| (research group: Computer Vision and Robotic Research) | |
| (research group: Statistical Visual Computing Laboratory ) | |
| (research group: Information and Coding Lab) | |
