scholarly journals Accurate performance bounds for target detection in WSNs with deterministic node placement

2010 ◽  
Author(s):  
Paolo Medagliani ◽  
Jeremie Leguay ◽  
Gianluigi Ferrari ◽  
Vincent Gay ◽  
Mario Lopez-Ramos
Keyword(s):  
Target Detection ◽  
Performance Bounds ◽  
Node Placement ◽  
Accurate Performance

scholarly journals Computing Accurate Performance Bounds for Best Effort Networks-on-Chip

2013 ◽  
Vol 62 (3) ◽  
pp. 452-467 ◽  
Author(s):  
Dara Rahmati ◽  
Srinivasan Murali ◽  
Luca Benini ◽  
Federico Angiolini ◽  
Giovanni De Micheli ◽  
...  
Keyword(s):  
Performance Bounds ◽  
Best Effort ◽  
Networks On Chip ◽  
Accurate Performance ◽  
On Chip

Target Detection in Bistatic Radar Networks: Node Placement and Repeated Security Game

2013 ◽  
Vol 12 (3) ◽  
pp. 1279-1289 ◽  
Author(s):  
Ling Tang ◽  
Xiaowen Gong ◽  
Jianhui Wu ◽  
Junshan Zhang
Keyword(s):  
Target Detection ◽  
Bistatic Radar ◽  
Node Placement ◽  
Radar Networks ◽  
Security Game

scholarly journals Implementation of feature extraction and deep learning-based ensemble classifier for interference mitigation in radar signals

2021 ◽  
Vol 24 (2) ◽  
pp. 1195
Author(s):  
N. Durga Indira ◽  
M. Venu Gopala Rao
Keyword(s):  
Feature Extraction ◽  
Deep Learning ◽  
Long Range ◽  
Target Detection ◽  
Interference Mitigation ◽  
Autonomous Driving ◽  
Ensemble Classifier ◽  
Accurate Performance ◽  
Mitigation Techniques ◽  
The One

In automotive vehicles, radar is the one of the component for autonomous driving, used for target detection and long-range sensing. Whereas interference exists in signals, noise increases and it effects severely while detecting target objects. For these reasons, various interference mitigation techniques are implemented in this paper. By using these mitigation techniques interference and noise are reduced and original signals are reconstructed. In this paper, we proposed a method to mitigate interference in signal using deep learning. The proposed method provides the best and accurate performance in relate to the various interference conditions and gives better accuracy compared with other existing methods.

Selective Attention and Error Processing in an Illusory Conjunction Task

2005 ◽  
Vol 19 (3) ◽  
pp. 216-231 ◽  
Author(s):  
Albertus A. Wijers ◽  
Maarten A.S. Boksem
Keyword(s):  
Target Detection ◽  
Event Related Potentials ◽  
Illusory Conjunction ◽  
Conjunction Error ◽  
Error Related Negativity ◽  
Display Element ◽  
Related Potentials ◽  
Feature Error ◽  
High Level ◽  
Correct Target

Abstract. We recorded event-related potentials in an illusory conjunction task, in which subjects were cued on each trial to search for a particular colored letter in a subsequently presented test array, consisting of three different letters in three different colors. In a proportion of trials the target letter was present and in other trials none of the relevant features were present. In still other trials one of the features (color or letter identity) were present or both features were present but not combined in the same display element. When relevant features were present this resulted in an early posterior selection negativity (SN) and a frontal selection positivity (FSP). When a target was presented, this resulted in a FSP that was enhanced after 250 ms as compared to when both relevant features were present but not combined in the same display element. This suggests that this effect reflects an extra process of attending to both features bound to the same object. There were no differences between the ERPs in feature error and conjunction error trials, contrary to the idea that these two types of errors are due to different (perceptual and attentional) mechanisms. The P300 in conjunction error trials was much reduced relative to the P300 in correct target detection trials. A similar, error-related negativity-like component was visible in the response-locked averages in correct target detection trials, in feature error trials, and in conjunction error trials. Dipole modeling of this component resulted in a source in a deep medial-frontal location. These results suggested that this type of task induces a high level of response conflict, in which decision-related processes may play a major role.

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