Fast Tensor-based Three-dimensional Sparse Bayesian Learning Space-Time Adaptive Processing Method
When airborne radar is applied to the non-side-looking mode, moving target detection performance considerably degrades because of the nonstationary clutter.
Ning CUI +3 more
doaj +1 more source
Fast-time STAP performance in pre and post range processing adaption as applied to multichannel SAR [PDF]
Hot-clutter cancellation using fast-time Space Time Adaptive Processing (STAP) can occur either pre or post range processing (RP) and to date, there has not been a direct comparison on which method offers the best results. This paper provides an analytic
Gray, D., Rosenberg, L., Trinkle, M.
core +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
A Space-time Adaptive Processing Algorithm Based on Joint Sparse Recovery
Sparse recovery Space-Time Adaptive Processing (STAP) methods for obtaining the clutter spectrum require few training samples and can effectively suppress clutter in nonhomogeneous clutter environments.
Duan Ke-qing +4 more
doaj +1 more source
Different homogeneity detectors for improving space-time adaptive radar performance in heterogeneous clutter [PDF]
© Copyright 2006 IEEESecondary data selection for estimation of the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from cells (range rings) in close proximity of the cell under test.
Bertacca, M., Gray, D., Rosenberg, L.
core +1 more source
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Monitoring system determines amplitude and time of vibration channel peaks [PDF]
Adaptive scheme advocated in this innovation will reduce processing time and is applicable to environmental testing and to space-borne or aircraft-borne vibration monitoring devices requiring a large number of ...
Anderson, T. O.
core +1 more source
Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification [PDF]
Objective: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value.
Jirka, Jakub +3 more
core +1 more source
Multimodel Shrinkage for Knowledge-Aided Space-Time Adaptive Processing
Space-time adaptive processing gets its adaptivity from estimating the second-order statistics of the clutter from secondary data. In practice, the amount of available secondary data may not be sufficient for the sample covariance estimate to be accurate.
Michael Riedl, L. Potter
semanticscholar +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source

