Results 41 to 50 of about 939 (214)
Space-time Adaptive FIR Filtering with Staggered PRI
, 2022 Space-time adaptive processing (STAP) has been recognized as an indispensable tool for detection of moving targets by air- or space borne MIT radar.
Klemm, R.
core
A Novel Sparse Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects
, 2022 Space-time adaptive processing (STAP) algorithms based on sparse recovery (SR) have been researched because of their low requirement of training snapshots.
Kun Liu +3 more
core +1 more source
Palaeontology, Volume 69, Issue 3, 2026.Abstract Lauraceae are a tropical–subtropical angiosperm family that exhibit significant diversity and a rich fossil record, primarily of leaves found worldwide from the Cretaceous to the present. However, the taxonomic placement of many fossil leaves remains uncertain because of morphological convergence and limited variation in leaf characters among ...
Marco A. Rubalcava‐Knoth +3 more
wiley +1 more source
An Overview on Sparse Recovery-based STAP
Leida xuebao, 2014 This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented.
Ma Ze-qiang +3 more
doaj +1 more source
People and Nature, Volume 8, Issue 4, Page 854-870, April 2026.Abstract Ecosystem services are rapidly degrading under anthropogenic pressure. Therefore, it is increasingly important to understand how ecosystem services flow, particularly at local scales, where people directly rely on nature for their livelihoods and well‐being. Many ecosystem services are underpinned by ecological (e.g.
Anna Stanworth +8 more
wiley +1 more source
Robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression
The Journal of Engineering, 2019 Conventional space–time adaptive processing (STAP) methods would suffer severely performance loss in the complex clutter environment of an airborne-phased array radar, especially when the estimated clutter covariance matrix (CCM) is corrupted by the ...
Hao Peng +3 more
doaj +1 more source
Australian Journal of Agricultural and Resource Economics, Volume 70, Issue 2, Page 395-409, April 2026.ABSTRACT Large‐scale solar generation is critical for energy transitions. In Australia, increased solar production to meet emission targets means its land footprint increasingly competes with agricultural land. Understanding the scale and location of agricultural land use change and potential profitability losses from large‐scale solar farms is ...
Raymundo Marcos‐Martinez +6 more
wiley +1 more source
Stap2Go Test: Validity and Sensitivity/Specificity for Attention and Executive Function Assessment
Applied Cognitive Psychology, Volume 40, Issue 2, March/April 2026.ABSTRACT Attention and executive function difficulties are common in many neurodevelopmental conditions and significantly impact psychological well‐being. However, access to cognitive assessment remains limited due to high costs and resource constraints.
Teresa Rossignoli‐Palomeque +1 more
wiley +1 more source
A Grid-Less Total Variation Minimization-Based Space-Time Adaptive Processing for Airborne Radar
IEEE Access, 2020 Sparse recovery (SR) based space-time adaptive processing (STAP) has attracted much attention due to its small requirement of snapshots in the estimation of the clutter plus noise covariance matrix (CNCM).
Yuyu Su +3 more
doaj +1 more source
Best Practice in Climate Change Adaptation
WIREs Climate Change, Volume 17, Issue 2, March/April 2026.The seven elements of best practice in climate change adaptation. ABSTRACT Climate change adaptation has become a core business for international organizations, firms, and all levels of government in almost every country. Practitioners seek to implement adaptation in the face of myriad barriers and uncertainties and so seek guidance as to what ...
Jon Barnett +3 more
wiley +1 more source