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:
- Zhao-Atlas-Marks (Cone kernel) time-frequency distribution (e.g. Zhao, Y., Atlas, L., and Marks., R., "The Use of Cone-Shaped Kernels for Generalized Time-Frequency Representations of Nonstationary Signals," IEEE Transactions on Signal Processing 38, pp. 1084-1091, 1990).
- 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.)