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A novel three-channel SAR-GMTI algorithm based on the compressed image rather than the azimuth-uncompressed raw data is proposed, which employs the classical DPCA technique and FrFT. The chirp characteristics of DPCA signal of the moving target in the SAR image domain is investigated for the first time in this paper. The scheme introduce FrFT to detect the moving target and estimate the position,...
For many human machine interaction systems, to ensure work safety, the techniques for continuously estimating the vigilance of operators are highly desirable. Up to now, various methods based on electroencephalogram (EEG) are proposed to solve this problem. However, most of them are static methods and are based on supervised learning strategy. The main deficiencies of the existing methods are that...
Tracking the pose of human face has long been an important research topic which has many important applications, and it is particularly challenging with a monocular camera because the depth information is lost due to the perspective projection. This work adopts particle filter with partitioned sampling to decompose the state space of face pose tracking into two subspaces for increasing the sampling...
In this paper, an object-oriented (OO) estimation model, named multi-granularity object-oriented software estimation model is presented, which was based on literature [Minghzi Mao and Li Chen] and conceived to estimate the size and effort of OO products. In particular, four levels are proposed, which are function level, class level, module level and system level. With the help of regression analysis,...
A method is presented for parameter identification of systems with uncertain dynamics and input/output disturbances. The system model is in stable factor form and is assumed to contain both parametric and nonparametric uncertainty, but only parametric uncertainty, namely, unknown parameters, are identified from the available input/output data, which are contaminated by norm-bounded nonparametric uncertainty...
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