Results 31 to 40 of about 1,244 (210)
Design and Experiment of Multi-resolution Composite Digital Array Antenna
Because a sparse array has the advantages of a simplified structure and reduced cost in a radar system, radar technology based on the sparse array has gained widespread attention.
Tang Yue, Mao Tian, Jiang Bing
doaj +1 more source
Mutual coupling error modeling and correction of shared aperture interleaved sparse array antennas
The shared aperture interleaved sparse array antenna is an effective way to implement a multi-function array antenna.The existing parameterized mutual coupling elimination methods are all developed for uniform array antennas.The mutual coupling matrix ...
Junming ZHUANG, Longjun LI
doaj +2 more sources
Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant +11 more
wiley +1 more source
Evaluating Spatial Resolution and Channel Capacity of Sparse Cylindrical Arrays for Massive MIMO
How to design antenna arrays plays an important role in wireless communications, especially when there are hundreds of antennas. In massive multiple-input and multiple-output (MIMO), if the number of antennas and RF chains are increasing, the channel ...
Na Wu, Fangqi Zhu, Qilian Liang
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Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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 +2 more
wiley +1 more source
Design of large aperture sparse array for mainlobe interference cancellation
Large aperture sparse array has the ability of mainlobe interference suppression. However, sparse array causes grating lobe problem. If the array is steering at the target and the mainlobe interference is located at the grating lobe, the adaptive filter ...
Honggang Zhang +3 more
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Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Application of particle swarm optimization algorithm in unmanned distributed array
Airborne radar is limited by the carrier platform and cannot obtain a larger aperture array, while on unmanned aerial vehicle platforms, the radar array can be reduced to zero.
Feng Chenxi, Xia Deping
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Frequency diverse array‐multiple input multiple output (FDA‐MIMO) radar not only has the advantage of waveform diversity but also can realise azimuth‐range correlation map, so it can realise high precision azimuth‐range joint estimation and has the ...
Hongzhen Wang +3 more
doaj +1 more source

