Results 91 to 100 of about 1,792,499 (213)

Denoising Teleseismic Data for Deep Earth Studies Using a Supervised Deep‐Learning Auto‐Encoder: A Case Study of Diffracted Waves From ULVZs

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 11, November 2026.
Abstract Seismic noise, particularly the microseism generated by the oceans, is a fundamental limitation on using short period (1–10 s) teleseismic data to study the deep Earth. Deep learning auto‐encoders have proven effective at denoising seismic data in other applications. Here, we provide a demonstration of their potential for improving the quality
Stuart Russell, Katrin Hannemann, Carl Martin, Bennet Lindhorst, Waleed Esmail, Christine Thomas   +5 more
wiley   +1 more source

Adaptive beamforming assisted receiver

, 2007
Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multiple-access scenario.
Sheng Chen, Chen, Sheng
core  

Convex Optimization for Distributed Acoustic Beamforming

, 2017
Beamforming filter optimization can be performed over a distributed wireless sensor network, but the output calculation remains either centralized or linked in time to the weights optimization.
Jellyman, Dayle Raymond (11740907), null null, Dayle Raymond Jellyman   +2 more
core   +1 more source

Sonar beamforming based upon monaural localisation techniques [PDF]

, 1987
Includes bibliographies.Sonar beamforming is usually accomplished using a multi-element transducer array. To obtain high resolution, such a system is costly and complex. In contrast, many mammals are capable of good angular resolution using only a single
Tollman, Peter Alan
core   +1 more source

WAH‐i: Optimising microphone array geometry for customised localisation accuracy

Methods in Ecology and Evolution, Volume 17, Issue 11, Page 3199-3219, November 2026.
Abstract Accurate spatial localisation of free‐flying echolocating bats is foundational for resolving fine‐scale flight and echolocation behaviour, prey interception and spatial decision‐making in natural environments. Acoustic localisation using microphone arrays is widely employed for this purpose, yet array geometries in field studies are typically ...
Ravi Umadi
wiley   +1 more source

Distributed Multicell Beamforming With Limited Intercell Coordination

IEEE Transactions on Signal Processing, 2011
This paper studies distributed optimization schemes for multicell joint beamforming and power allocation in time-division-duplex (TDD) multicell downlink systems where only limited-capacity intercell information exchange is permitted. With an aim to maximize the worst-user signal-to-interference-and-noise ratio (SINR), we devise a hierarchical ...
Yongming Huang 0001, Gan Zheng, Mats Bengtsson, Kai-Kit Wong, Luxi Yang, Björn E. Ottersten   +5 more
openaire   +2 more sources

All‐Optical Dual‐Angle Diffractive Neural Networks for 2D Direction‐of‐Arrival Estimation

Nanophotonics, Volume 15, Issue 20, 27 October 2026.
A diffractive neural network with an integrated spatial encoder resolves the direction of an incoming terahertz signal entirely through optical propagation. After the signal passes through the cross‐shaped input and two 3D‐printed diffractive layers, two detector arrays read its two incident angles simultaneously.
Chenjie Xiong, Shuo Wang, Jianzhou Huang, Jia Zhang, Luosha Zhang, Yu Wang, Jin Tao, Chengjun Zou, Bin Hu   +8 more
wiley   +1 more source

Universal REFoCUS Beamforming With Spatial Weighting

IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control
REFoCUS (Retrospective Encoding For Conventional Ultrasound Sequences) offers great flexibility by enabling synthetic aperture beamforming from conventional ultrasound sequences.
Anders Emil Vralstad, Magnus Dalen Kvalevag, Ole Marius Hoel Rindal, Svein-Erik Masoy   +3 more
doaj   +1 more source

Investigation of Randomly Populated Cylindrical, Spherical, and Cubical Arrays for Application in Space, Aerial, and Underwater Collaborative Beamforming

IEEE Access
This work investigates and analyzes collaborative beamforming for a Swarm-enabled distributed sensing project. It investigates the use of a three-dimensional, randomly populated, and uniformly-distributed array in three configurations: spherical ...
Kristopher R. Buchanan, Roanne Manzano-Roth, Annie Lin, Gabriella Loaiza, Meghan Sills, Jin Li, Sara R. Wheeland, Sounak Chakrabarti, Angelica R. Rodriguez, Gregory H. Huff, Mark Patefield, Anthony Jones   +11 more
doaj   +1 more source

Phase Error Effects on Distributed Transmit Beamforming for Wireless Communications [PDF]

, 2017
This paper investigates the impact of phase errors of beamforming networks on the performance of distributed transmit beamforming systems. Through multi-tone signal, wider band, models and the defined phase error percentage (PEP) of the beamforming ...
Zhang, Junqing, Ding, Yuan, Fusco, Vincent; id_orcid, Junqing Zhang, Yuan Ding, Vincent Fusco   +5 more
core   +1 more source