Results 51 to 60 of about 20,190 (261)

Convolutional Neural Networks for Local Component Number Estimation from Time–Frequency Distributions of Multicomponent Nonstationary Signals

Mathematics
Frequency-modulated (FM) signals, prevalent across various applied disciplines, exhibit time-dependent frequencies and a multicomponent nature necessitating the utilization of time-frequency methods.
Vedran Jurdana, Sandi Baressi Šegota
doaj   +1 more source

A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method

Shock and Vibration, 2017
This paper proposes a new signal decomposition method that aims to decompose a multicomponent signal into monocomponent signal. The main procedure is to extract the components with frequencies higher than a given bisecting frequency by three steps: (1 ...
Zhi-Xiang Hu, Wei-Xin Ren, Zuo-Cai Wang, Yue-Ling Jing, Xia Yang   +4 more
doaj   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Modifications of laser correlation spectrometer for investigation of biological fluids

EPJ Web of Conferences, 2017
We suggest three modifications of a laser correlation spectrometer for analysis of complex multicomponent biological solutions based on: (i) dynamic light scattering with special signal processing for analysis of polydisperse solutions, (ii) use of ...
Nepomnyashchaya Elina, Zabalueva Zoja, Velichko Elena, Aksenov Evgenii   +3 more
doaj   +1 more source

Noise Attenuation Based on Wave Vector Characteristics

Applied Sciences, 2018
Polarization filtering has been widely used to enhance signal-to-noise ratios for multicomponent seismic data. Polarization filters routinely depend on the ellipticity and directionality of spatial particle motions.
Jun Lu, Yun Wang, Jingyi Chen
doaj   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Graphene Quantum Dot‐Induced Microstrain for Framework Stabilization of High‐Entropy Prussian Blue Analog in High‐Current Alkaline Hydrogen Evolution Reaction

Advanced Functional Materials, EarlyView.
The intrinsic distortion‐rich lattice of HEPBA with GQD‐enabled microstrain engineering establishes a mechanistic route toward high‐performance alkaline hydrogen evolution reaction. HEPBA inherently feature heterogeneous local coordination environments arising from multimetal incorporation, while properly introducing GQD during coprecipitation ...
Mia Rinawati, Yu‐Ru Liu, Wei‐Hsiang Huang, Kuan‐Yu Lin, Ching‐Ju Ho, Ling‐Yu Chang, Karel Roubik, Ni Luh Wulan Septiani, Ahmad Nuruddin, Wei‐Nien Su, Min‐Hsin Yeh   +10 more
wiley   +1 more source

Tuning Redox Dynamics in Cu‐Based Electrocatalysts: Effect of Secondary Metals

Advanced Functional Materials, EarlyView.
Advanced analysis of operando X‐ray absorption spectroscopy data reveals that secondary metals affect the redox processes in Cu‐based catalysts for electrocatalytic CO2 reduction. This influences the amount of oxides formed under pulsed reaction conditions and the distribution of reaction products.
Martina Rüscher, Andrea Martini, Eduardo Ortega, Lichen Bai, Eric Liberra, Daniel Escalera‐López, Hyo Sang Jeon, Antonia Herzog, Clara Rettenmaier, Dorottya Hursán, David Koshy, Mariana Cecilio de Oliveira Monteiro, Timon Wagner, Leon Jacobse, Felix Haase, Arno Bergmann, Janis Timoshenko, Beatriz Roldan Cuenya   +17 more
wiley   +1 more source

Robust Time-Frequency Distributions with Complex-Lag Argument

EURASIP Journal on Advances in Signal Processing, 2010
The robust time-frequency distributions with complex-lag argument are proposed. They can provide an accurate estimation of fast varying instantaneous frequency in the presence of noise with heavy-tailed probability density function.
Srdjan Stanković, Irena Orović, Nikola Žarić   +2 more
doaj   +2 more sources

Disentangling Modes and Interference in the Spectrogram of Multicomponent Signals

CoRR
In this paper, we investigate how the spectrogram of multicomponent signals can be decomposed into a mode part and an interference part. We explore two approaches: (i) a variational method inspired by texture-geometry decomposition in image processing, and (ii) a supervised learning approach using a U-Net architecture, trained on a dataset encompassing
Polisano, Kévin, Meignen, Sylvain, Laurent, Nils, Leterme, Hubert   +3 more
openaire   +3 more sources