In so doing, most desirable characteristics of the generator array are preserved, such as the size of consecutive virtual co-array, resistance to mutual coupling, and robustness against sensor ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...