We explore the many areas and applications of signal processing, including underwater source classification, single-channel source separation, cochlear implant coding, and more.
Our lab is best known for initiating these key concepts:
- Active learning for big data (e.g. Cohn, D., Atlas, L., and Ladner, R., “Improving Generalization with Active Learning,” Machine Learning 15, pp. 201-221. 1994).
- Joint acoustic and modulation frequency analysis and filtering (e.g. Atlas, L. and Shamma, S., "Joint Acoustic and Modulation Frequency," EURASIP Journal on Advances in Signal Processing, 2003.)