Machine Learning and Statistical Signal Processing

My research focuses on both statistical signal processing and machine learning, with a particular emphasis on applying machine learning algorithms to address challenges in the field of statistical signal processing. Specificically, I am interest at:

array signal processing: beamforming, Direction-of-Arrivial (DOA) estimation, beamform resource allocation.

compressive sensing: sparse signal recovery, sparse Bayesian learning,  sensing matrix design/learning.

Kalman filter: applying machine learning methods to addressing the problems in Kalman filter.

natural lanauge processing and speech processing.

classical topics in machine learning.