Results 51 to 60 of about 382 (172)

Research on Evaluator Education and Training: Conceptual and Practical Bounds for a Scholarship of Teaching and Learning (SoTL)

New Directions for Evaluation, Volume 2025, Issue 187, Page 59-66, Fall 2025.
ABSTRACT In this article, we contextualize research on evaluator education and training (RoEET) within its historical context by grounding it in a RoE framework posed by Mark and a landscape analysis by King and Ayoo. We then link RoEET with contemporary views on philosophical, applied, and empirical dimensions of the scholarship of teaching and ...
Leah C. Neubauer, John LaVelle, Ayesha S. Boyce, Thomas Archibald   +3 more
wiley   +1 more source

Range Recursive Space-Time Adaptive Processing (Stap) For Mimo Airborne Radar

, 2009
Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
openaire   +4 more sources

The Feasibility and Test‐Retest Reliability of Wireless Dry‐Electrode EEG During a Dynamic Psychomotor Virtual Reality Task

Brain and Behavior, Volume 15, Issue 4, April 2025.
ABSTRACT Purpose Virtual reality (VR) offers immersive environments for studying psychomotor performance, but the reliability of dry‐electrode electroencephalography (EEG) in assessing brain activity during dynamic VR exergames (VRex) remains unclear.
Jazmin Morrone, Rik Mellor, Sidney Grosprêtre, Charles R. Pedlar, Giuseppe Cimadoro   +4 more
wiley   +1 more source

Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance

European Journal of Sport Science, Volume 25, Issue 3, March 2025.
Abstract This study aimed to determine the effects of different bout durations (1 × 12 min, 2 × 6 min and 3 × 4 min) of three‐a‐side (3vs3) and four‐a‐side (4vs4) small sided games (SSGs) with goalkeepers, on the profile of mood state (POMS) scores, and technical performance (percentage of successful passes, percentage of successful tackles, percentage
Zouhaier Farhani, Hatem Ghouili, Wissem Dhahbi, Achraf Ammar, Mohamed Ben Aissa, Mohamed Mansour Bouzouraa, Khaled Trabelsi, Noomen Guelmami, Nizar Souissi, Ismail Dergaa, Anissa Bouassida, Lamia Ben Ezzeddine   +11 more
wiley   +1 more source

Space Time Adaptive Processing Technique for Airborne Radar: An Overview of Its Development and Prospects

Leida xuebao, 2017
Used to suppress strong clutter and jamming in airborne radar data, Space Time Adaptive Processing (STAP) is a multidimensional adaptive filtering technique that simultaneously combines signals from elements of an antenna array and multiple pulses of ...
Xie Wenchong, Duan Keqing, Wang Yongliang   +2 more
doaj   +1 more source

Reduced-Dimension FDA-STAP for Range-Ambiguous Clutter Rejection Under Limited Snapshots

Eng
Space-time adaptive processing (STAP) has been widely recognized as an effective technique for suppressing clutter in airborne radar systems. Nevertheless, range ambiguity can seriously affect the clutter rejection capability of conventional STAP methods.
Di Song, Chunyu Song, Qiqi Li, Jinmin Shi   +3 more
doaj   +1 more source

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

International Journal of Antennas and Propagation, 2018
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

Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing

IEEE Access, 2018
In space–time adaptive processing (STAP) technique, the estimation of the interference-plus-noise covariance matrix is one of the critical points.
Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei   +4 more
doaj   +1 more source

A Training Sample Selection Method With Fusing GIP Statistic and Geographic Information for Airborne Radar

Electronics Letters, Volume 61, Issue 1, January/December 2025.
The method expands sample‐screening dimensions through multidimensional information‐weighted fusion, enabling the selection of more suitable sample sets. Compared with the GIP and knowledge‐aided clutter suppression methods, our proposed method exhibits excellent robustness in different clutter environments and achieves improved clutter‐suppression ...
Chenran Gao, Wenchong Xie, Yuanyi Xiong, Wei Chen, Buqiu Tian   +4 more
wiley   +1 more source

Deterministic-aided single dataset STAP method based on sparse recovery in heterogeneous clutter environments

EURASIP Journal on Advances in Signal Processing, 2018
Traditional space-time adaptive processing (STAP) usually needs many independent and identically distributed (i.i.d) training datasets for estimating clutter covariance matrix (CCM).
Wei Wang, Lin Zou, Xuegang Wang, Yang Yang   +3 more
doaj   +1 more source