|
Jitendra K Tugnait
► ScholarGPS ► csauthors.net ► dblp ► Google Scholar ► Semantic Scholar Current Research InterestsStatistical Signal Processing Conditional independence graphs of random vectors and matrices, and multivariate time series; Improper/non-circular complex-valued random signal processing; Robust signal processingMachine Learning for Signal Processing Graphical modeling of random vectors and matrices, and multivariate time series; Differential (dependency) graphical modeling Past Research InterestsWireless Physical & Secure Communications Physical layer security; Massive MIMO; Cognitive radioMultisensor Multitarget Tracking Some recent papersJ.K. Tugnait, "Log-sum penalized differential graph estimation from time-dependent data," in Proc. 2025 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2025), pp. 106-110, Punta Cana, Dominican Republic, Dec. 14-17, 2025. J.K. Tugnait, "Learning conditional independence differential graphs from time-dependent data," IEEE Access, vol. 13, pp. 204563- 204583, 2025. [pdf] J.K. Tugnait, "On conditional independence graph learning from multi-attribute Gaussian dependent time series," IEEE Open Journal of Signal Processing , vol. 6, pp. 705-721, 2025. [pdf] J.K. Tugnait, "On learning multi-attribute graphs with non-convex penalties," in Proc. 2025 IEEE Statistical Signal Processing Workshop (SSP-2025), pp. 201-205, Edinburgh, UK, June 8-11, 2025. J.K. Tugnait, "Multi-attribute graph estimation with sparse-group non-convex penalties," IEEE Access, vol. 13, pp. 80174-80190, 2025. [pdf] J.K. Tugnait, "Learning multi-attribute differential graphs with non-convex penalties," IEEE Access, vol. 13, pp. 67065-67078, 2025. [pdf] J.K. Tugnait, "Estimation of multi-attribute differential graphs with non-convex penalties," in Proc. 2025 IEEE Intern. Conf. Acoustics, Speech & Signal Processing (ICASSP 2025), pp. 1-5, Hyderabad, India, April 6-11, 2025. Link to our graduate program.
|