Results 61 to 70 of about 2,096 (176)
Three-dimensional sparse recovery space-time adaptive processing for airborne radar
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to the ...
Keqing Duan +4 more
doaj +1 more source
A Joint Sparse Space-Time Adaptive Processing Method
At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered ...
Jinfeng Hu +4 more
doaj +1 more source
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points.
Yu Zhao +4 more
doaj +1 more source
A protocol for the development of a core descriptor and core outcome set for acute left‐sided diverticulitis [PDF]
Abstract Background Diverticulitis is a common emergency general surgical condition that affects patients worldwide. Research remains heterogeneous, meaning the provision of high‐quality, evidence‐based care for these patients remains a challenge. We aimed therefore to complete a core outcome and core descriptor set for acute left‐sided diverticulitis.
CODD‐ Collaborative for Outcomes in Diverticular Disease +7 more
europepmc +2 more sources
The most challenging task in phased array radar system is the mitigation or suppression of noise and interferences to enhance the useful signal in radar received signals.
Raafia Irfan +3 more
doaj +1 more source
Cognitive Space-time Adaptive Processing Technology for Airborne Radar in Complex Environments
China has one of the longest land borders in the world and features a diverse range of terrain types and a dense electromagnetic environment. Therefore, in practical applications, airborne radar faces complex environments.
Wenchong XIE +7 more
doaj +1 more source
Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge
Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity.
Junhao Cui, Zhangxin Chen, Jing Liang
doaj +1 more source
De eerste casus in *Deel 1 Perspectief burger in de rol van partner, ouder, vriend en/of bewoner* uit de casuïstiekbundel *Stilstaan om vooruit te komen*. Deze bundel met casuïstiek uit de praktijk van social work nodigt (toekomstige) professionals en docenten uit om in gezamenlijkheid te reflecteren op de verhalen.
openaire
Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms.
Yiduo Guo, Jian Gong, Yu Xiao
doaj +1 more source
A Fast IAA–Based SR–STAP Method for Airborne Radar
Space–time adaptive processing (STAP) is an effective technology in clutter suppression and moving target detection for airborne radar. When working in the heterogeneous environment, the number of training samples that satisfy independent and identically
Shuguang Zhang +3 more
doaj +1 more source

