Results 71 to 80 of about 1,448,495 (301)

Direction Finding Using Compressive One-Bit Measurements

IEEE Access, 2018
In this paper, we propose a novel direction-of-arrival (DOA) estimation scheme, which is named the compressive one-bit measurement scheme. In the proposed scheme, the one-bit quantization technique is used to reduce the system cost in terms of the analog-
Tao Chen, Muran Guo, Xiangsong Huang
doaj   +1 more source

Detection of Direction-Of-Arrival in Time Domain Using Compressive Time Delay Estimation with Single and Multiple Measurements

Sensors, 2020
The compressive time delay estimation (TDE) is combined with delay-and-sum beamforming to obtain direction-of-arrival (DOA) estimates in the time domain.
Youngmin Choo, Yongsung Park, Woojae Seong   +2 more
doaj   +1 more source

The Role of Viscoelasticity in Heterogeneous Glioblastoma Stem Cell Invasion in Biomimetic 3‐Dimensional Hydrogels

Advanced Healthcare Materials, EarlyView.
The role of viscoelasticity in the invasion of heterogeneous glioblastoma stem cells (GSCs) was investigated with GSCs categorized into subgroups based on molecular profile, as Reactive, Invasive, or Constructive using viscoelastic biomimetic hyaluronan‐oxime hydrogels.
Nicole J. Blaine, Arianna Skirzynska, Allysia A. Chin, Julie Audet, Molly S. Shoichet   +4 more
wiley   +1 more source

WSN data gathering algorithm based on compressive sensing and matrix completion technique

Tongxin xuebao, 2018
The unreliable links and packet losing are ubiquitous in WSN.The performance of data collection algorithm based on compressive sensing is sensitive to packet losing.Firstly,the relationship between packet loss rate and CS-based reconstruction precision ...
Ce ZHANG, Ou LI, Xin TONG, Yanping YANG
doaj   +2 more sources

Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals

Journal of Applied Mathematics, 2013
Compressive sensing (CS) reconstruction of a spectrum-sparse signal from undersampled data is, in fact, an ill-posed problem. In this paper, we mathematically prove that, in certain cases, the exact CS reconstruction of a spectrum-sparse signal from ...
Ying Luo, Qun Zhang, Guozheng Wang, Youqing Bai   +3 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification

Journal of Applied Engineering and Technological Science
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar   +4 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Exploiting Fine-Grained Subcarrier Information for Device-Free Localization in Wireless Sensor Networks

Sensors, 2018
Device-free localization (DFL) that aims to localize targets without carrying any electronic devices is addressed as an emerging and promising research topic.
Yan Guo, Dongping Yu, Ning Li
doaj   +1 more source

Achieving High Spatial Resolution Transmission Electron Microscopy Studies in Closed Liquid Cells

Advanced Materials, EarlyView.
Achieving high spatial resolution is important for resolving nanoscale dynamic processes and structural transformations in liquid environments, yet remains challenging in liquid cell transmission electron microscopy (LCTEM). This review highlights key strategies, including mitigating membrane bulging, displacing or redistributing local liquid ...
Siqi Guo, Hongyu Sun, Le Shu, Xuejin Ge, Raquel Aymerich‐Armengol, Siyuan Zhang, Long Ren, Ningyan Cheng, Christina Scheu, Binghui Ge   +9 more
wiley   +1 more source