Results 51 to 60 of about 31,014 (138)
Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss
Sensors, 2017 Accurate information acquisition is of vital importance for wireless sensor array network (WSAN) direction of arrival (DOA) estimation. However, due to the lossy nature of low-power wireless links, data loss, especially block data loss induced by ...
Peng Sun +4 more
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Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference
, 2012 Direction of arrival (DOA) estimation is a classical problem in signal processing with many practical applications. Its research has recently been advanced owing to the development of methods based on sparse signal reconstruction.
Xie, Lihua, Yang, Zai, Zhang, Cishen
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Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
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AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li +5 more
wiley +1 more source
Gridless Two-dimensional DOA Estimation With L-shaped Array Based on the Cross-covariance Matrix
, 2017 The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution.
Wu, Xiaohuan, Yan, Jun, Zhu, Wei-Ping
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Brain Pathology, EarlyView.We investigated neuropathological manifestations of hypothermia in 168 cases. Patients aged 65 years or more constituted 80% of the total cohort. Alzheimer's disease was the most common comorbidity, affecting 40% of all patients. Abstract There is a paucity of autopsy‐based studies providing detailed neuropathological characteristics of fatal ...
Shojiro Ichimata +2 more
wiley +1 more source
Cramer-Rao Bound for Sparse Signals Fitting the Low-Rank Model with Small Number of Parameters
, 2015 In this paper, we consider signals with a low-rank covariance matrix which reside in a low-dimensional subspace and can be written in terms of a finite (small) number of parameters. Although such signals do not necessarily have a sparse representation in
Shaghaghi, Mahdi, Vorobyov, Sergiy A.
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British Journal of Pharmacology, EarlyView.Abstract Background and Purpose D‐amino acid oxidase (DAO) has been developed as a chemogenetic tool, to precisely manipulate redox levels in tissues and cells by generating H2O2 in the presence of D‐amino acids. The enzyme's significant oxygen consumption during H2O2 production may influence cellular oxygen levels.
Wiebke Maurer +10 more
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Sensors, 2016 A compressive sensing joint sparse representation direction of arrival estimation (CSJSR-DoA) approach is proposed for wireless sensor array networks (WSAN).
Kai Yu +6 more
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Optimization of array geometry for direction-of-arrival estimation using a priori information [PDF]
Advances in Radio Science, 2010 This paper focuses on the estimation of the direction-of-arrival (DOA) of signals impinging on a sensor array. A novel method of array geometry optimization is presented that improves the DOA estimation performance compared to the standard uniform linear
O. Lange, B. Yang
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