Results 51 to 60 of about 9,334 (177)
Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder
, 2022 Due to the shortage of independent and identically distributed (i.i.d.) training samples, space−time adaptive processing (STAP) often suffers remarkable performance degradation in the heterogeneous clutter environment.
Hongwei Liu +6 more
core +1 more source
Limnology and Oceanography, Volume 71, Issue 1, January 2026.Abstract There is a global increase in the decommissioning of offshore oil and gas (O&G) infrastructure at the end of its operating lifetime. However, there is strikingly limited empirical evidence for the environmental and ecological impacts of decommissioning.
Zelin Chen +8 more
wiley +1 more source
Low Rank Tensor STAP filter based on multilinear SVD
, 2012 International audienceSpace Time Adaptive Processing (STAP) is a two-dimensional adaptive filtering technique which uses jointly temporal and spatial dimensions to suppress disturbance and to improve target detection.
Ginolhac, Guillaume +8 more
core +1 more source
Stap voor stap de stilte betreden
Handelingen: Tijdschrift voor Praktische Theologie en Religiewetenschap, 2018 Voor de gemiddelde hbo-student is stilte geen vanzelfsprekendheid. Er is altijd muziek, afleiding en sociale media. Een moment van stilte geeft juist ruimte aan vele, onrustig makende gedachten. Stilte geeft geen rust. En toch kan het oefenen van stilte door studenten een pedagogische onderbreking zijn die bijdraagt aan een diepere zelfreflectie en dus
openaire +1 more source
Metrizable TAP, HTAP and STAP groups
, 2012 In a recent paper by D. Shakhmatov and J. Spěvák [D. Shakhmatov, J. Spěvák, Group-valued continuous functions with the topology of pointwise convergence, Topology Appl.
Domínguez, X., Tarieladze, V.
core +1 more source
Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques [PDF]
, 2015 We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications.
Zhaocheng Yang +4 more
core +1 more source
STAP: Sequencing Task-Agnostic Policies
, 2023 Advances in robotic skill acquisition have made it possible to build general-purpose libraries of learned skills for downstream manipulation tasks. However, naively executing these skills one after the other is unlikely to succeed without accounting for ...
Migimatsu, Toki +3 more
core +1 more source
Knowledge-Aided STAP approach for bistatic ground moving target imaging
, 2017 Clutter heterogeneity caused by cultivation variation of the terrain properties degrades STAP detection performance. In recent years, a priori knowledge sources has been used directly and indirectly for STAP performance improvement.
Gelli, S. +8 more
core +1 more source
Pembuatan Perangkat Lunak Untuk Pemotongan Stap Dengan Metode Simpleks [PDF]
, 2006 Dalam membangun suatu bangunan dibutuhkan berbagai macam bahan bangunan dan kebutuhannya, diantaranya yang membutuhkan proses optimasi agar kuantitas bahan bangunan maupun kebutuhan seminimal mungkin adalah kaca, besi beton ...
Budiwan, Adi Pramono
core
Clutter Suppression for Wideband Radar STAP
, 2021 Traditional space-time (ST) adaptive processing (STAP) theory is based on the assumption of narrowband or ``zero-bandwidth,'' where the decorrelation within the ST snapshot is ignored.
N Li (7711346) +4 more
core