Jitendra K Tugnait

James B Davis Professor
Department of Electrical and Computer Engineering
Auburn University

Contact

313 Broun Hall, Auburn AL 36849-5201
Tel: (334) 844-1846
Fax: (334) 844-1809
tugnajk@auburn.edu

Current Research Interests

Statistical Signal Processing Graphical modeling of random vectors and matrices, and multivariate time series; Improper/non-circular complex-valued random signal processing; Robust signal processing

Past Research Interests

Wireless Physical & Secure Communications Physical layer security; Massive MIMO; Cognitive radio
Multisensor Multitarget Tracking

► csauthors.net ► dblp ► Google Scholar ► Semantic Scholar

Some recent papers

J.K. Tugnait, "Graph learning from multivariate dependent time series via a multi-attribute formulation" in Proc. 2022 IEEE Intern. Conf. Acoustics, Speech & Signal Processing (ICASSP 2022), pp. 4508-4512, Singapore, May 22-27, 2022. [pdf]

J.K. Tugnait, "Sparse-group log-sum penalized graphical model learning for time series," in Proc. 2022 IEEE Intern. Conf. Acoustics, Speech & Signal Processing (ICASSP 2022), pp. 5822-5826, Singapore, May 22-27, 2022. [pdf]

J.K. Tugnait, "On sparse high-dimensional graphical model learning for dependent time series," Signal Processing, vol. 197, Aug. 2022, Article 108539. [pdf:arXiv] [pdf:journal]

J.K. Tugnait, "Sparse graph learning under Laplacian-related constraints," IEEE Access, vol. 9, pp. 151067-151079, 2021. [pdf]

J.K. Tugnait, "Corrections to 'Sparse-group lasso for graph learning from multi-attribute data'," IEEE Trans. Signal Processing, vol. 69, p. 4758, 2021. [pdf]

J.K. Tugnait, "Sparse-group lasso for graph learning from multi-attribute data," IEEE Trans. Signal Processing, vol. 69, pp. 1771-1786, 2021. [pdf]

J.K. Tugnait, "Consistency of sparse-group lasso graphical model selection for time series," in Proc. 54th Asilomar Conference on Signals, Systems and Computers, pp. 589-593, Pacific Grove, CA, Nov. 1-4, 2020.

J.K. Tugnait, "Deviance tests for graph estimation from multi-attribute Gaussian data," IEEE Trans. Signal Processing, vol. 68, pp. 5632-5647, 2020. [pdf]

J.K. Tugnait, "Graph learning from multi-attribute smooth signals," in Proc. 2020 IEEE Intern. Workshop on Machine Learning for Signal Processing (MLSP 2020), Espoo, Finland, Sept. 21-24, 2020.

J.K. Tugnait, "SCAD-penalized complex Gaussian graphical model selection," in Proc. 2020 IEEE Intern. Workshop on Machine Learning for Signal Processing (MLSP 2020), Espoo, Finland, Sept. 21-24, 2020.

Link to our graduate program.