Results 61 to 70 of about 47,616 (177)

Sparsity-Based Non-Stationary Clutter Suppression Technique for Airborne Radar

IEEE Access, 2018
Conventional space-time adaptive processing (STAP) technique can achieve perfect performance when applied to side-looking airborne radar (SLAR), where the clutter is relatively stationary, whereas it suffers significant degradation for non-SLAR due to ...
Keqing Duan, Huadong Yuan, Hong Xu, Weijian Liu, Yongliang Wang   +4 more
doaj   +1 more source

Sub-Nyquist Channel Estimation over IEEE 802.11ad Link

, 2017
Nowadays, millimeter-wave communication centered at the 60 GHz radio frequency band is increasingly the preferred technology for near-field communication since it provides transmission bandwidth that is several GHz wide.
Eldar, Yonina C., Mishra, Kumar Vijay
core   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

A group sparsity-driven approach to 3-D action recognition [PDF]

, 2011
In this paper, a novel 3-D action recognition method based on sparse representation is presented. Silhouette images from multiple cameras are combined to obtain motion history volumes (MHVs).
Cetin, Mujdat, Cosar, Serhan, Coşar, Serhan, Çetin, Müjdat   +3 more
core  

Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization

Advanced Physics Research, EarlyView.
This paper presents a novel error mitigation technique to address the qubit errors that occur when solving combinatorial optimization problems with quantum annealing. The approach significantly speeds up the computation to reach the global optimum solution for a correlated 3D image segmentation model for material microstructures, demonstrating a ...
Yushuang Sam Yang, Peter Tyson, Clement Chu, Anthony Bruce Murphy   +3 more
wiley   +1 more source

Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis

, 2016
Subspace recovery from corrupted and missing data is crucial for various applications in signal processing and information theory. To complete missing values and detect column corruptions, existing robust Matrix Completion (MC) methods mostly concentrate
Lin, Zhouchen, Zhang, Chao, Zhang, Hongyang   +2 more
core   +2 more sources

Diet of bird‐like troodontid dinosaurs: synthesis of a contentious clade

Biological Reviews, EarlyView.
ABSTRACT Troodontidae is a clade of small‐to medium‐sized maniraptoran theropods that mainly lived in Laurasia (modern Asia, North America and Europe) during the Jurassic and Cretaceous periods and are believed to have had a variety of diets. The uniqueness of troodontid teeth suggests that they diverged from the typical flesh‐based diet of non‐avian ...
Yui Chi Fan, Case Vincent Miller, Michael Pittman   +2 more
wiley   +1 more source

Simultaneous Sparse Approximation Using an Iterative Method with Adaptive Thresholding

, 2017
This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem arises in many applications which work with multiple signals maintaining some degree of dependency such as radar and sensor networks.
Boloursaz, Mahdi, Kiani, Shahrzad, Marvasti, Farokh, Sadrizadeh, Sahar   +3 more
core  

Deep learning‐driven methods for fluorescence imaging denoising

Interdisciplinary Medicine, EarlyView.
This review evaluates data‐driven deep learning denoising methods that overcome conventional limitations through effective feature extraction and nonlinear modeling. Focusing on fluorescence imaging acquisition under photon‐limited conditions, we delineate cutting‐edge architectures, including supervised learning, unsupervised learning, zero‐shot ...
Xinyu Lu, Zixu Zhan, Bin Tan, Ruiwen Wang, Shuyue Wang, Diming Zhang, Bobo Cai, Zhijing Zhu   +7 more
wiley   +1 more source

Reducing Inhomogeneous MT (ihMT) Acquisition Time Using Frequency Alternation at Low Duty Cycle for Single Offset (FALSO) MT Preparations

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate Frequency Alternation at Low duty cycle for Single Offset (FALSO) as a novel Magnetization Transfer (MT) preparation scheme to increase speed and/or spatial resolution of inhomogeneous MT (ihMT) MRI by reducing the number of volumes required.
Gopal Varma, Aaron K. Grant, Lucas Soustelle, Olivier M. Girard, Guillaume Duhamel, David C. Alsop   +5 more
wiley   +1 more source