Results 41 to 50 of about 83,735 (217)

Near⁃Field Sources Localization Based on Non⁃uniform Sparse Bayesian Learning

Shuju Caiji Yu Chuli
The near-field steering vector contains the angle and range parameters. They are coupled with each other and difficult to separate. Most existing methods adopt the approximate decoupling model to estimate the angle and range parameters step by step ...
LI Yi, FU Haijun, DAI Jisheng
doaj   +1 more source

Robust Sparse Bayesian Learning for Off-Grid DOA Estimation With Non-Uniform Noise

IEEE Access, 2018
The performance of traditional sparse representation-based direction-of-arrival (DOA) estimation algorithm is substantially degraded in the presence of non-uniform noise and off-grid gap caused by the discretization processes.
Huafei Wang, Xianpeng Wang, Liangtian Wan, Mengxing Huang   +3 more
doaj   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Sparse Bayesian Learning-Based Multichannel Radar Forward-Looking Superresolution Imaging Considering Grid Mismatch

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To overcome the effect of grid mismatch on the superresolution performance, a sparse Bayesian learning-based multichannel radar forward-looking superresolution imaging scheme is proposed in this article.
Jianyu Yang, Wenchao Li, Kefeng Li, Rui Chen, Kun Zhang, Deqing Mao, Yin Zhang   +6 more
doaj   +1 more source

Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray

The Journal of Engineering, 2019
Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Improved ORB-SLAM3 Based on MCMCC for Mobile Robot Navigation

Taiyuan Ligong Daxue xuebao
Purposes The sparse feature map established by using VSLAM cannot be directly used for navigation, and the existing methods of converting sparse feature maps into grid maps for navigation suffer from low accuracy of map construction, resulting in the ...
ZHAO Liang, WANG Ting, QIN Jianing, XU Xinying, CHENG Lan   +4 more
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

A Block Alternating Optimization Method for Direction-of-Arrival Estimation With Nested Array

IEEE Access, 2019
In this paper, direction-of-arrival estimation using nested array is studied in the framework of sparse signal representation. With the vectorization operator, a new real-valued non-negative sparse signal recovery model, which has a wider virtual array ...
Yunmei Shi, Xing-Peng Mao, Chunlei Zhao, Yong-Tan Liu   +3 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source