Results 101 to 110 of about 387,662 (285)

Knowledge-Aided Target Detection for Multistatic Passive Radar

IEEE Access, 2019
This paper studies the detection problem for multistatic passive radar. We consider scenarios where prior knowledge about the spectrum and peak-to-average ratio (PAR) of the non-cooperative illuminators of opportunity (IOs) is available.
Guohao Sun, Wei Zhang, Jun Tong, Zishu He, Zhihang Wang   +4 more
doaj   +1 more source

Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer, Simon Faissner, Ralf Gold, Aiden Haghikia   +3 more
wiley   +1 more source

Moving Target Detection Using Distributed MIMO Radar Based on Low-bit Quantization under the Background of Generalized Gaussian Noise

Leida xuebao
Signal-level cooperative detection based on multichannel observations is a pivotal technique in distributed Multiple-Input Multiple-Output (MIMO) radar for probing targets via the joint processing of multiple echo channels.
Qunfeng DU, Xu CHENG, Fulai WANG, Chen PANG, Yuntao WU   +4 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Super-Resolution Multi-Look Detection in SAR Tomography

Remote Sensing, 2018
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) allows extending the 2-D focusing capabilities of SAR to the elevation direction, orthogonal to the azimuth and range.
Cosmin Dănișor, Gianfranco Fornaro, Antonio Pauciullo, Diego Reale, Mihai Datcu   +4 more
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Generalized Likelihood Ratio Satellite Navigation Spoofing Detection Algorithm Based on Moving Variance

IEEE Access
The vulnerability of Global Navigation Satellite Systems (GNSS) to spoofing limits their widespread use in military security and national economy. Therefore, fast and accurate detection of GNSS spoofing is of great significance.
Pingping Qu, Tianfeng Liu, Tengli Yu, Ershen Wang, Song Xu, Zibo Yuan   +5 more
doaj   +1 more source

Persymmetric Adaptive Detectors of Subspace Signals in Homogeneous and Partially Homogeneous Clutter

Leida xuebao, 2015
In the field of adaptive radar detection, an effective strategy to improve the detection performance is to exploit the structural information of the covariance matrix, especially in the case of insufficient reference cells.
Ding Hao, Xue Yong-hua, Huang Yong, Guan Jian   +3 more
doaj   +1 more source

An exact, unified distributional characterization of statistics used to test linear hypotheses in simple regression models [PDF]

The Wald, likelihood ratio and Lagrange multiplier test statistics are commonly used to test linear restrictions in regression models. It is shown that for testing these restrictions in the classical regression model, the exact densities of these test ...
Parker, Thomas
core   +1 more source

Change point testing for the drift parameters of a periodic mean reversion process [PDF]

, 2012
In this paper we investigate the problem of detecting a change in the drift parameters of a generalized Ornstein-Uhlenbeck process which is defined as the solution of dX_t = (L(t) - alpha X_t)dt + delta dB_t and which is observed in continuous time ...
Dehling, Holger, Franke, Brice, Kott, Thomas, Kulperger, Reg   +3 more
core