Results 41 to 50 of about 1,903,363 (255)

Super-resolution tactile sensor arrays with sparse units enabled by deep learning

Science Advances
High-resolution tactile perception is essential for humanoid robots to perform contact-based interaction tasks. However, enhancing resolution is typically accompanied by increasing the density of sensing nodes, large numbers of interconnecting wires, and
De-Peng Kong, Yuyao Lu, Shu-Yao Zhou, Mengke Wang, Gaoyang Pang, Baocheng Wang, Lipeng Chen, Xiao-Yan Huang, Honghao Lyu, Kaichen Xu, Geng Yang   +10 more
semanticscholar   +1 more source

Hybrid Beamforming for Active Sensing Using Sparse Arrays [PDF]

IEEE Transactions on Signal Processing, 2019
This paper studies hybrid beamforming for active sensing applications, such as millimeter-wave or ultrasound imaging. Hybrid beamforming can substantially lower the cost and power consumption of fully digital sensor arrays by reducing the number of ...
Robin Rajamäki, Sundeep Prabhakar Chepuri, V. Koivunen   +2 more
semanticscholar   +1 more source

New sparse array for non‐circular sources with increased degrees of freedom

Electronics Letters, 2021
Recently, sparse arrays have received considerable attention as they provide larger array aperture and increased degrees‐of‐freedom (DOFs) compared to uniform linear arrays.
Abdul Hayee Shaikh, Xiaoyu Dang, Imran. A. Khoso, Daqing Huang   +3 more
doaj   +1 more source

Detecting novel genes with sparse arrays [PDF]

Gene, 2010
Species-specific genes play an important role in defining the phenotype of an organism. However, current gene prediction methods can only efficiently find genes that share features such as sequence similarity or general sequence characteristics with previously known genes.
Haiminen, Niina, Smit, Bart, Rautio, Jari, Vitikainen, Marika, Wiebe, Marilyn, Martinez, Diego, Chee, Christine, Kunkel, Joe, Sanchez, Charles, Nelson, Mary Anne, Pakula, Tiina, Saloheimo, Markku, Penttilä, Merja, Kivioja, Teemu, Arvas, Mikko   +15 more
openaire   +2 more sources

Sparse antenna array design methodologies–A review

Journal of Electronic Science and Technology
Designing a sparse array with reduced transmit/receive modules (TRMs) is vital for some applications where the antenna system's size, weight, allowed operating space, and cost are limited.
Pan Wu, Yan-Hui Liu, Zhi-Qin Zhao, Qing-Huo Liu   +3 more
doaj   +1 more source

Direction of Arrival Estimation of Coherent Wideband Sources Using Nested Array

Sensors, 2023
Due to their ability to achieve higher DOA estimation accuracy and larger degrees of freedom (DOF) using a fixed number of antennas, sparse arrays, etc., nested and coprime arrays have attracted a lot of attention in relation to research into direction ...
Yawei Tang, Weiming Deng, Jianfeng Li, Xiaofei Zhang   +3 more
doaj   +1 more source

Super-resolution photoacoustic and ultrasound imaging with sparse arrays [PDF]

Scientific Reports, 2019
It has previously been demonstrated that model-based reconstruction methods relying on a priori knowledge of the imaging point spread function (PSF) coupled to sparsity priors on the object to image can provide super-resolution in photoacoustic (PA) or ...
Sergey Vilov, Bastien Arnal, Eliel Hojman, Y. Eldar, O. Katz, E. Bossy   +5 more
semanticscholar   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

2D DOA Estimation Exploiting Vertical Synthetic Planar Arrays

IEEE Access, 2021
In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation.
Guiyu Wang, Zesong Fei, Shiwei Ren
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source