Recent advances in neural networks have made great progress the hyperspectral image (HSI) classification. However, overfitting effect, which is mainly caused by complicated model structure and small training set, remains a major concern. Reducing complexity of could prevent to some extent, but also declines networks’ ability express more abstract features. Enlarging set difficult, for high expe...

simple harmonizable processes (shp) introduced by soltani and parvardeh (2006) are a large class of nonstationary processes which includes stationary and periodically correlated (pc) processes. detection and estimation of shp structure are important problems when dealing with nonstationary data. in this paper, we study the spectral properties of simple processes and propose a method to detect a...

in this paper, we examine target detection in the surveillance channels of fm-based passive bistatic radars (fbpbrs) in the presence of interference signals in the reference channels of these systems. to do so, we propose a new signal conditioning algorithm to remove interference signals form reference channel. simulation results show that the proposed signal conditioning algorithm outperform t...

A nonconforming spectral element method for the Stokes problem on nonsmooth domains has been proposed in Mohapatra et al. (J Comput Appl Math 372:112696, 2020). The main focus of this article is to study performance problems smooth curvilinear and with mixed boundary conditions. Various test cases are considered including generalized $${\mathbb {R}}^{2}$$ {R}}^{3}$$ verify exponential accuracy ...