Results 91 to 100 of about 1,336 (197)

Radar Signal Recognition Based on Multilayer Perceptron Neural Network

open access: yes, 2023
Low Probability of Intercept (LPI) radars are developed on an advanced architecture by making use of coded waveforms. Detection and classification of radar waveforms are important in many critical applications like electronic warfare, threat to radar and
Subba Rao, K.   +2 more
core   +1 more source

Earthquake Rate Variability in the Auckland Volcanic Field Within a Long‐Duration Self‐Consistent Earthquake Catalogue

open access: yesNew Zealand Journal of Geology and Geophysics, Volume 69, Issue 2, June 2026.
Eruptions in the Auckland Volcanic Field in Aotearoa New Zealand have not occurred since seismic monitoring began in Aotearoa New Zealand, but it is generally presumed that future eruptions from the Auckland Volcanic Field will be preceded by elevated rates of seismicity.
S. O’Hagan   +5 more
wiley   +1 more source

Estimation of glottal closure instants in voiced speech using the DYPSA algorithm [PDF]

open access: yes, 2007
Published ...
Naylor, P A   +3 more
core   +1 more source

The United States Magnetotelluric Array and the National Impedance Map

open access: yesReviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert   +7 more
wiley   +1 more source

Waveform design for spaceborne synthetic aperture radar [PDF]

open access: yes, 1999
Synthetic Aperture Radar (SAR), which was first developed in the 1950's as a technique for improving the resolution of military reconnaissance radar, has rapidly matured as a remote sensing tool for a wide range of civilian applications.
Lee, Woo Kyung
core  

Convolutional Neural Networks for Automatic Cognitive Radio Waveform Recognition

open access: yesIEEE Access, 2017
Cognitive radio technology is an important branch in the field of wireless communication, and automatic identification is a major part of cognitive radio technology. Convolutional neural network (CNN) is an advanced neural network, which is the forefront
Ming Zhang, Ming Diao, Limin Guo
doaj   +1 more source

Aerial and Space‐Borne Seismology on Venus: Viability and Design Implications for Future Missions

open access: yesEarth and Space Science, Volume 13, Issue 6, June 2026.
Abstract Venus' evolution remains a mystery because of the lack of in situ geophysical data to constrain its interior structure. Recently‐selected planetary missions VERITAS (NASA), DAVINCI+ (NASA), and EnVision (ESA) will investigate the planet's interior, surface, and atmospheric chemistry.
Quentin Brissaud   +9 more
wiley   +1 more source

A FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF A COGNITIVE RADAR TARGET RECOGNITION SYSTEM [PDF]

open access: yes, 2021
The objective of this study is to design a field-programmable gate array (FPGA) implementation of a cognitive radar (CRr) target recognition system for electronic warfare applications.
Sessions, Calvin A.
core  

Ionospheric Characterization Over Iran Using Multi‐Frequency IMB HF Transmitters and Global WSPRNET Reception During the 12 November 2025 Geomagnetic Storm

open access: yesSpace Weather, Volume 24, Issue 6, June 2026.
Abstract The Ionospheric Monitoring Beacon network in Iran provides continuous, multi‐frequency high‐frequency (HF) transmissions using WSPRNET modulation, enabling global reception and near–real‐time monitoring of ionospheric propagation conditions.
A. Mahmoudian   +2 more
wiley   +1 more source

Spectrum sensing for cognitive radio and radar systems [PDF]

open access: yes, 2009
The use of the radio frequency spectrum is increasing at a rapid rate. Reliable and efficient operation in a crowded radio spectrum requires innovative solutions and techniques.
Lundén, Jarmo
core  

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