Standard noise radars, as well noise-type radars such quantum two-mode squeezing radar, are characterized by a covariance matrix with very specific structure. This has four independent parameters: the amplitude of received signal, internal signal used for matched filtering, correlation between two signals, and relative phase them. In this paper, we derive estimators these parameters using techn...

Excessive number of Haar-like features and the complex threshold calculation of covariance matrix feature are two key issues of Adaboost face detection. In this paper, an efficient feature named covariance feature is proposed. The novel method divides the face image into several regions and it calculate covariance feature of any two regions. Then optimal weak classifiers will be picked out by A...

Evanescent random fields arise as a component of the 2-D Wold decomposition of homogenous random fields. Besides their theoretical importance, evanescent random fields have a number of practical applications, such as in modeling the observed signal in the space time adaptive processing (STAP) of airborne radar data. In this paper we derive an expression for the rank of the low-rank covariance m...