Results 111 to 120 of about 2,719,974 (280)
Artificial Intelligence applications in Noise Radar Technology
Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the ...
Afonso L. Sénica+2 more
doaj +1 more source
Radar sounding using the Cassini altimeter waveform modeling and Monte Carlo approach for data inversion observations of Titan's seas [PDF]
Recently, the Cassini RADAR has been used as a sounder to probe the depth and constrain the composition of hydrocarbon seas on Saturn's largest moon, Titan.
Hayes, A.+5 more
core +1 more source
Low‐Rank Gap Filling and Downscaling for SMAP Soil Moisture Datasets
ABSTRACT Soil moisture is the linchpin of the surface hydrologic cycle, controlling the partitioning of water and energy fluxes at the surface. Without it, vegetation, and hence life on the solid Earth as we know it, would not exist. Understanding ecohydrology is understanding the availability of soil moisture to vegetation.
Kevin Beale+2 more
wiley +1 more source
Nyquist Folding Receiver (NYFR) is a perceptron structure that realizes a low probability of intercept (LPI) signal analog to information. Aiming at the problem of LPI radar signal receiving, the time domain, frequency domain, and time-frequency domain ...
Tao Wan, Kai-li Jiang, Hao Ji, Bin Tang
doaj
Navigating the risks and rewards of scavenging in multipredator, human‐impacted landscapes
Abstract Large carnivores can influence smaller scavengers through both positive and negative interactions (e.g., carrion provisioning and intraguild killing) and ultimately shape scavenging efficiency. However, we know little about this trade‐off in anthropogenic landscapes where humans kill carnivores and provide carrion subsidies.
Calum X. Cunningham+6 more
wiley +1 more source
Visual Attention to Radar Displays [PDF]
A model is described which predicts the allocation of attention to the features of a radar display. It uses the growth of uncertainty and the probability of near collision to call the eye to a feature of the display.
Brophy, C., Moray, N., Richards, M.
core +1 more source
Abstract The representation of cloud microphysical processes in climate models continues to be a major challenge leading to uncertainty in climate simulations. The shape parameter (equivalent to relative dispersion) of gamma distribution for ice particles is assumed to be 0 in the Beijing Climate Center Atmospheric General Circulation Model (BCC‐AGCM).
Pengcheng Lin+11 more
wiley +1 more source
OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals [PDF]
A transmitted, unknown radar signal is observed at the receiver through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to simultaneously estimate the direction of arrival (DOA). We propose an approach exploiting the parsimonious time-frequency representation of the signal by applying a new OMP ...
arxiv
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection [PDF]
Recently, sparsity-based algorithms are proposed for super-resolution spectrum estimation. However, to achieve adequately high resolution in real-world signal analysis, the dictionary atoms have to be close to each other in frequency, thereby resulting ...
Li, Huanghuang+3 more
core +1 more source
Abstract The accurate representation of cloud droplet number concentration (Nd) is crucial for predicting future climate. However, models often underestimate Nd over the Southern Ocean (SO), where natural sources dominate, and aerosols are composed primarily of marine biogenic sulfate and sea spray.
Litai Kang+6 more
wiley +1 more source