Signal Processing Lab @ UNIST


Year founded: 2008

Advisor: Seungjoon Yang

Graduate Concentration: Electrical Engineering and Computer Science

SPL studies statistical signal processing theories and techniques to develop exciting new technologies for image processing and computer vision. Following UNIST's free spirit of interdisciplinary study, researchers in SPL collaborate with mathematicians, scientists, and designers. Our current research interests include inverse problems in image processing and computer vision, machine learning and its applications to image processing, study of human perception of visual information, and biometric authentication.

The following courses are helpful for researches in SPL: in undergraduate school, linear algebra, signals & systems, digital signal processing, probability and random processes, and in graduate school, image processing, computer vision, advanced linear algebra, advanced digital signal processing, estimation & decision theory, machine learning, and probability & stochastic processes.


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