Tunable dispersion compensation by an angular conserved grating-pair system

To our knowledge the concept of an angular conserved grating-pair dispersion compensation system is proposed for the first time, and furthermore a model of such a system is developed and applied to the study of two- and three-lens special cases. A set of easy-to-use dispersion compensation formulas based on geometric optics has been derived and confirmed by our experimental results. Tunability and a compensation ratio as high as 27,600 have been achieved with two- and three-lens systems, respectively.     

Microwatt shot-noise measurement

We report a simple scheme for sensitive measurements of optical-noise spectra. Optical noise is separated from electronic noise when the output of an analog spectrum analyzer is real-time squared and then lock-in detected. This method directly yields the desired mean-square noise voltage, i.e., the power spectrum of the optical noise on a linear scale. To demonstrate this technique, the mean-square shot noise of a laser beam is measured and found to vary linearly with the laser power from several milliwatts down to one microwatt, in excellent quantitative agreement with predictions.     

CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes

Neural Computing and Applications - High-resolution (HR) remote sensing images provide rich information for human activities. However, processing entire HR images is time-consuming, and many...     

Robust semi-supervised discriminant embedding method with soft label in kernel space

Neural Computing and Applications - Considering some problems of local linear embedding methods in semi-supervised scenarios, a robust scheme for generating soft labels is designed and a...     

A multi-agent model for decision making on environmental regulation in urban agglomeration

The Journal of Supercomputing - The incomplete enforcement of environmental regulation by local governments will lead to environmental degradation. While the strategy selection for local...     

Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery

Applied Intelligence - In recent years, low-rank tensor completion has been widely used in color image recovery. Tensor Train (TT), as a balanced tensor rank minimization method, has achieved good...     

Relation network based on multi-granular hypergraphs for person re-identification

Applied Intelligence - In recent years, person re-identification (re-ID) has become a widespread research topic that focuses on retrieving target pedestrians from a set of images, typically taken...