Results 101 to 110 of about 11,419,317 (219)

Adaptive waveform design for cognitive radar [PDF]

open access: yes, 2014
Advances in technology, especially in sensing, robotics, wireless communications, hardware capabilities and the constant need to confront not only the existing but also new and advanced threats are pushing for the need of advanced radar techniques.
Tsistrakis, Georgios
core   +5 more sources

Inference‐Sufficient Representations for High‐Throughput Measurement: Lessons from Lossless Compression Benchmarks in 4D‐STEM

open access: yesAdvanced Computing, Volume 1, Issue 1, December 2026.
Agentic workflows will need a principled account of how data relates to scientific inference. We benchmark thirteen off‐the‐shelf compression implementations; the best already sits within 2.5×$\times$ of the entropy bound. We propose inference‐sufficient representations: model‐based representation, employing abductive inference, can reduce storage a ...
Ondrej Dyck   +5 more
wiley   +1 more source

A Fast Algorithm for Target Adaptive Waveform Design for Imaging with Experimental Validation

open access: yes, 2022
S.237-240In this paper we address the problem of adaptive waveform design for a cognitive radar architecture with respect to implementation issues and imaging capabilities.
Warnke, Marcel, Brüggenwirth, Stefan
core   +1 more source

An Innervated Human Skin Equivalent that Electrically Encodes Mechanical and Thermal Stimuli

open access: yesAdvanced Science, Volume 13, Issue 61, 3 November 2026.
An innervated human skin equivalent is integrated with high‐density microelectrode arrays to reveal how engineered free nerve ending–like structures translate touch and temperature into electrical codes. Mechanical indentation and thermal stimulation engage the engineered somatosensory circuitry and evoke distinct firing and waveform signatures ...
Daniele Bellantoni   +6 more
wiley   +1 more source

WAVEFORM DESIGN WITH POLYNOMIAL PHASE IN MODERN RADAR SYSTEMS [PDF]

open access: yes
This research examines radar waveform design, interference mitigation, and performance optimization in modern radar systems, with a focus on multi-sensor setups and dynamic target detection.
AMAR, Robin
core  

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 6, November 2026.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu   +4 more
wiley   +1 more source

Spatial Information-Theoretic Optimal LPI Radar Waveform Design. [PDF]

open access: yesEntropy (Basel), 2022
Chen J, Wang J, Zhang Y, Wang F, Zhou J.
europepmc   +1 more source

Lean Neural Networks for Autonomous Radar Waveform Design. [PDF]

open access: yesSensors (Basel), 2022
Baietto A   +5 more
europepmc   +1 more source

Cognitive Radar Waveform Optimization Based on Mutual Information and Kalman filtering

open access: yesEntropy, 2018
A new strategy to optimizing the waveforms of cognitive radar under transmitted power constraint is presented. Our scheme is to enhance the performance of target estimation by minimizing the MSE (mean-square error) of the estimates of target scattering ...
Yu Yao, Junhui Zhao, Lenan Wu
doaj   +1 more source

Calculating the Interconnection Limit from a Comprehensive Voltage Evaluation for Distribution Systems with Large Distributed Energy Resources

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 11, Page 1609-1622, November 2026.
Japan is pursuing power source decarbonization and is thus reducing fuel‐based thermal power generation while promoting renewable energy resource use. Given the expected power fluctuations, this transition will require novel voltage management and control methods.
Satoshi Uemura   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy