Results 51 to 60 of about 679,625 (215)
Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter
The problem of optimising the target detection performance of MIMO radar in the presence of clutter is considered. The increased false alarm rate which is a consequence of the presence of clutter returns is known to seriously degrade the target detection
Siva Karteek Bolisetti +4 more
doaj +1 more source
Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non ...
Yuze Sun, Jian Yang, Xiaopeng Yang
doaj +1 more source
Loanwords and Linguistic Phylogenetics: *pelek̑u‐ ‘axe’ and *(H)a(i̯)g̑‐ ‘goat’1
Abstract This paper assesses the role of borrowings in two different approaches to linguistic phylogenetics: Traditional qualitative analyses of lexemes, and quantitative computational analysis of cognacy. It problematises the assumption that loanwords can be excluded altogether from datasets of lexical cognacy.
Simon Poulsen
wiley +1 more source
Conventional spaceborne monostatic radar systems incur huge engineering costs to achieve small moving-target detection and low anti-interference ability.
Qing LU +7 more
doaj +1 more source
A new clutter suppression technique that uses both Doppler and polarimetric information is presented. Polarimetric properties of the target and clutter are calculated per Doppler frequency cell and based on this information clutter suppression is ...
Dmitri Moisseev +3 more
doaj +1 more source
Echoes of Intelligence: What AI Could Learn From Bats
Bat biosonar offers a promising model for embodied AI: navigating dense vegetation through active perception and learning from sparse echoes suggests robust, parsimonious, autonomous alternatives to conventional vision‐centered, data‐intensive systems.
Rolf Müller
wiley +1 more source
Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz +2 more
wiley +1 more source
The Doppler Spectra of Medium Grazing Angle Sea Clutter; Part 1: Characterisation [PDF]
This paper is concerned with the characterisation of Doppler spectra from high range resolution X-band radar sea clutter observed from an airborne platform over the range of grazing angles, 15° to 45°.
Rosenberg, L +3 more
core
Performance of high-resolution X-band radar for rainfall measurement in The Netherlands [PDF]
This study presents an analysis of 195 rainfall events gathered with the X-band weather radar SOLIDAR and a tipping bucket rain gauge network near Delft, The Netherlands, between May 1993 and April 1994.
J. N. M. Stricker +14 more
core +2 more sources
Adaptive Prototype‐Based Few‐Shot Segmentation for Debris Flow Early Warning
From single‐parameter monitoring to a cross‐modal few‐shot visual paradigm for debris flow early warning. Conventional rainfall‐gauge and mud‐level monitoring is data‐sparse, delayed in response, and spatially limited. The proposed framework instead fuses a support set, a query image, and a textual target category through ResNet‐50 and CLIP encoders ...
Mingzhi Zhang +7 more
wiley +1 more source

