In this paper, we propose a robust direction-of-arrival (DOA) estimation algorithm based on group sparse reconstruction algorithm utilizing signals observed at multiple frequencies. The group sparse reconstruction scheme for DOA estimation is solved through the complex multitask Bayesian compressive sensing algorithm by exploiting the group sparse property of the received multi-frequency signal...

Non-negative matrix factorization (NMF) has been a powerful data representation tool which has been widely applied in pattern recognition and computer vision due to its simplicity and effectiveness. However, existing NMF methods suffer from one or both of the following deficiencies: (1) they cannot theoretically guarantee the decomposition results to be sparse, and (2) they completely neglect g...

Circular statistics has been applied to several areas of knowledge in which the input data is circular or directional. Noisy measurements are still a problem applications and, like non-circular data, second-order have some limitations deal with non-Gaussian noise. Recently, similarity function called correntropy successfully employed involving impulsive noise for being capable extracting more i...

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy FROM FIXED TO ADAPTIVE BUDGET ROBUST KERNEL ADAPTIVE FILTERING By Songlin Zhao December 2012 Chair: Jose C. Principe Major: Electrical and Computer Engineering Recently, owning to universal modeling capacity, convexity in performance sur...

Non-Gaussian noises always exist in the nonlinear system, which usually lead to inconsistency and divergence of regression identification applications. The conventional evolving fuzzy systems (EFSs) common sense have succeeded conquer uncertainties external disturbance employing specific variable structure characteristic. However, non-Gaussian would trigger frequent changes under transient crit...