This paper provides principles and applications of the sparse microwave imaging theory and
technology. Synthetic aperture radar (SAR) is an important method of modern remote …

This article presents a survey of recent research on sparsity-driven synthetic aperture radar
(SAR) imaging. In particular, it reviews 1) the analysis and synthesis-based sparse signal …

Compressed sensing (CS) is a technique that is suitable for compressing and recovering
signals having sparse representations in certain bases. CS has been widely used to …

In this paper, a novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm)
algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) …

压缩感知(或称压缩采样) 是国际上近期出现的一种信息理论. 其核心思想是只要某高维信号是可
压缩的或在某个变换域上具有稀疏性, 就可以用一个与变换基不相关的测量矩阵将该信号投影到 …

Noncooperative target pose (position and attitude) measurement is very important for on-
orbital servicing tasks, such as malfunctioned spacecraft capturing and repairing, space …

Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …

Through-the-wall radar imaging (TWRI) is emerging as a viable technology for providing
high-quality imagery of enclosed structures. TWRI makes use of electromagnetic waves to …

The compressed sensing (CS) synthetic aperture radar (SAR) imaging scheme can use
random undersampled data to reconstruct images of sparse or compressible targets …

Machine fault diagnosis collects massive amounts of vibration data about complex
mechanical systems. Performing feature detection from these data sets has already led to a …