Results 31 to 40 of about 35,734 (259)

Transmission line fault-cause classification based on multi-view sparse feature selection

Energy Reports, 2022
With the development of communication and monitoring techniques, multi-source information in form of multi-view data is expected to support fault-cause identification for transmission line maintenance and fault disposal.
Shengchao Jian, Xiangang Peng, Kaitong Wu, Haoliang Yuan   +3 more
doaj   +1 more source

New digital testing for parametric fault detection in analog circuits using classified frequency-bands and efficient test-point selection

Ain Shams Engineering Journal, 2021
This paper presents a new parametric fault detection (PFD) approach for testing of linear analog circuits. It combines classified frequency-bands with amplitude weighting for fault controllability and test-points selection for fault observability.
Bassam A. Abo-elftooh, Mohamed H. El-Mahlawy, Hani F. Ragai   +2 more
doaj   +1 more source

Optimal Waveform Selection For Target Classification

, 1996
Publication in the conference proceedings of EUSIPCO, Trieste, Italy ...
Sameh M. Sowelam, Ahmed H. Tewfik
openaire   +3 more sources

Visualizing the dynamic change of Ocular Response Analyzer waveform using Variational Autoencoder in association with the peripapillary retinal arteries angle

Scientific Reports, 2020
The aim of the current study is to identify possible new Ocular Response Analyzer (ORA) waveform parameters related to changes of retinal structure/deformation, as measured by the peripapillary retinal arteries angle (PRAA), using a generative deep ...
Shotaro Asano, Ryo Asaoka, Takehiro Yamashita, Shuichiro Aoki, Masato Matsuura, Yuri Fujino, Hiroshi Murata, Shunsuke Nakakura, Yoshitaka Nakao, Yoshiaki Kiuchi   +9 more
doaj   +1 more source

Back EMF Waveform Comparison and Analysis of Two Kinds of Electrical Machines

World Electric Vehicle Journal, 2021
In this study, the back electromotive force (EMF) waveforms of a flux switching permanent magnet (FSPM) machine and variable flux memory permanent magnet (VFMPM) machine with same main dimension were researched. Firstly, the simulation result showed that
Yingjie Cui, Munawar Faizan, Zhongxian Chen   +2 more
doaj   +1 more source

Cognitive Radar Waveform Selection for Low-Altitude Maneuvering-Target Tracking: A Robust Information-Aided Fusion Method

Remote Sensing
In this paper, we introduce an innovative interacting multiple-criterion selection (IMCS) idea to design the optimal radar waveform, aimingto reduce tracking error and enhance tracking performance. This method integrates the multiple-hypothesis tracking (
Xiang Feng, Ping Sun, Lu Zhang, Guangle Jia, Jun Wang, Zhiquan Zhou   +5 more
doaj   +1 more source

Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures

Remote Sensing, 2017
A plethora of information contained in full-waveform (FW) Light Detection and Ranging (LiDAR) data offers prospects for characterizing vegetation structures.
Tan Zhou, Sorin C. Popescu, A. Michelle Lawing, Marian Eriksson, Bogdan M. Strimbu, Paul C. Bürkner   +5 more
doaj   +1 more source

Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar

Sensors, 2020
This paper considers the design of a desired transmit beampattern under the good ambiguity function constraint using a correlated linear frequency modulation-phase coded (LFM-PC) waveform set in multiple-input-multiple-output (MIMO) radar. Different from
Sheng Hong, Yantao Dong, Rui Xie, Yu Ai, Yuhao Wang   +4 more
doaj   +1 more source

Analysis of Retrackers’ Performances and Water Level Retrieval over the Ebro River Basin Using Sentinel-3

Remote Sensing, 2019
Satellite altimeters have been used to monitor river and reservoir water levels, from which water storage estimates can be derived. Inland water altimetry can, therefore, play an important role in continental water resource management.
Qi Gao, Eduard Makhoul, Maria Jose Escorihuela, Mehrez Zribi, Pere Quintana Seguí, Pablo García, Mònica Roca   +6 more
doaj   +1 more source

Online waveform selection for cognitive radar

ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Designing a cognitive radar system capable of adapting its parameters is challenging, particularly when tasked with tracking a ballistic missile throughout its entire flight. In this work, we focus on proposing adaptive algorithms that select waveform parameters in an online fashion.
Thulasi Tholeti, Avinash Rangarajan, Sheetal Kalyani   +2 more
openaire   +2 more sources