Results 21 to 30 of about 2,096 (176)

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, Wang Xi-qin, Liu Yi-min, Meng Hua-dong   +3 more
doaj   +1 more source

Signal-transducing adaptor protein-2 delays recovery of B lineage lymphocytes during hematopoietic stress

Haematologica, 2020
Signal-transducing adaptor protein-2 (STAP-2) was discovered as a C-FMS/M-CSFR interacting protein and subsequently found to function as an adaptor of signaling or transcription factors.
Michiko Ichii, Kenji Oritani, Jun Toda, Hideaki Saito, Henyun Shi, Hirohiko Shibayama, Daisuke Motooka, Yuichi Kitai, Ryuta Muromoto, Jun-ichi Kashiwakura, Kodai Saitoh, Daisuke Okuzaki, Tadashi Matsuda, Yuzuru Kanakura   +13 more
doaj   +1 more source

On the Efficient Implementation of Sparse Bayesian Learning-Based STAP Algorithms

Remote Sensing, 2022
Sparse Bayesian learning-based space–time adaptive processing (SBL-STAP) algorithms can achieve superior clutter suppression performance with limited training sample support in practical heterogeneous and non-stationary clutter environments.
Kun Liu, Tong Wang, Jianxin Wu, Cheng Liu, Weichen Cui   +4 more
doaj   +1 more source

Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar

Leida xuebao, 2016
The unified theoretical frame of a joint transmitter-receiver reduced dimensional Space-Time Adaptive Processing (STAP) method is studied for an airborne Multiple-Input Multiple-Output (MIMO) radar.
Guo Yiduo, Gong Jian, Huang Darong, Jin Hubing   +3 more
doaj   +1 more source

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder

Remote Sensing, 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.
Chenxi Zhang, Huiliang Zhao, Wenchao Chen, Bo Chen, Penghui Wang, Changrui Jia, Hongwei Liu   +6 more
doaj   +1 more source

A Novel Fast Sparse Bayesian Learning STAP Algorithm for Conformal Array Radar

Remote Sensing, 2023
Space-time adaptive processing (STAP) is an important method of clutter suppression that requires adequate training samples. For an airborne conformal array radar, conventional STAP methods do not have enough training samples to acquire good performance ...
Bing Ren, Tong Wang
doaj   +1 more source

Space-Time Adaptive Processing Clutter-Suppression Algorithm Based on Beam Reshaping for High-Frequency Surface Wave Radar

Remote Sensing, 2022
In high-frequency surface wave radar (HFSWR) systems, clutter is a common phenomenon that causes objects to be submerged. Space-time adaptive processing (STAP), which uses two-dimensional data to increase the degrees of freedom, has recently become a ...
Jiaming Li, Qiang Yang, Xin Zhang, Xiaowei Ji, Dezhu Xiao   +4 more
doaj   +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, Tong Wang, Fuyu Tao, Zhongyue Li   +3 more
doaj   +1 more source

Behaviour Support in Dentistry Core Outcomes (BeSiDe‐CO): A Core Outcome Set Development Study

Community Dentistry and Oral Epidemiology, EarlyView.
ABSTRACT Objectives To develop a Core Outcome Set suitable for adults and children for use in studies of Dental Behaviour Support (DBS) techniques, including non‐pharmacological DBS, sedation and General Anaesthesia research. Methods Two systematic reviews generated a preliminary list of candidate outcomes that were shared with Key Stakeholders (KSG ...
Caoimhin Mac Giolla Phadraig, Isabel C. Olegário, Shaelynn Hsu, Maryam Al Zayer, Aisyah Binti Ahmad Fisal, Alison Dougall, Gareth B. Kitchen, Henry F. Duncan, Sarah Baker, Sharat Pani, Sreekanth Kumar Mallineni, Mandy Daly, The BeSiDe COS Collaboration, Tracey Scott, Carolyn Akintola, Éilish Burke, Steve Moore, Barbara Vallo, Jacobo Posse Limerese, Karin Alexandra Van Nes, Maiken Bagger, Olive Healy, Andrew Geddis‐Regan   +22 more
wiley   +1 more source

Emotional and behavioural problems of children born preterm and maternal sensitivity: An individual participant data meta‐analysis

Developmental Medicine &Child Neurology, EarlyView.
Abstract Aim To examine whether dyadic maternal sensitivity is associated with emotion and behaviour regulation of children born preterm (< 37 weeks' gestation). Method We performed a systematic literature search and individual participant data (IPD) meta‐analysis including seven cohorts (2469 mother–child dyads).
Elina Jokiranta‐Olkoniemi, Karli Treyvaud, Dieter Wolke, Günter Esser, Lianne J. Woodward, Alicia Spittle, Jeanie L. Y. Cheong, Anneloes L. Van Baar, Marjolein Verhoeven, Noa Gueron‐Sela, Naama Atzaba‐Poria, Peter J. Anderson, Julia Jaekel   +12 more
wiley   +1 more source