Results 131 to 140 of about 256,514 (313)

Signal-Dependent Techniques for Non-Stationary Signal Sampling and Reconstruction

The paper describes the processing of non-stationary signals, which takes the advantages offered by the use of signaldependent techniques in sampling and analysis procedures. The level-crossing approach is exploited for signal sampling, whereby the local
Šāvelis, Rolands, Greitāns, Modris
core  

Window Length Selection and Signal-Noise Separation and Reconstruction in Singular Spectrum Analysis [PDF]

In Singular Spectrum Analysis (SSA) window length is a critical tuning parameter that must be assigned by the practitioner. This paper provides a theoretical analysis of signal-noise separation and reconstruction in SSA that can serve as a guide to ...
Md Atikur Rahman Khan, D.S. Poskitt
core  

Depth-resolved backscattering signal reconstruction based OCT attenuation compensation. [PDF]

Proc SPIE Int Soc Opt Eng, 2022
Wang Y, Wei S, Kang JU.
europepmc   +1 more source

Laser Powder Bed Fusion of Alumina: Effects of Scanning Strategies on External and Internal Defects

Advanced Engineering Materials, EarlyView.
This study investigates how scanning strategies affect pure alumina in laser powder bed fusion. Linear 45° scanning yields uniform surfaces but high porosity, while the island‐concentric strategy provides higher density with through‐holes favorable for infiltration. Findings highlight pathways toward optimizing defect‐free alumina parts.
Mohamed Abdelmoula, Gökhan Küçüktürk, Duran Kaya, David Grossin, Christophe Tenailleau, Benjamin Duployer, Enrique Juste, Fabrice Petit   +7 more
wiley   +1 more source

Dual mode imaging in mid infrared with thermal signal reconstruction for innovative diagnostics of the "Monocromo" by Leonardo da Vinci. [PDF]

Sci Rep, 2021
Daffara C, Parisotto S, Mariotti PI, Ambrosini D.   +3 more
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Development and Explainability of Models for Machine-Learning-Based Reconstruction of Signals in Particle Detectors

Particles
Machine learning methods are being introduced at all stages of data reconstruction and analysis in various high-energy physics experiments. We present the development and application of convolutional neural networks with modified autoencoder architecture
Kalina Dimitrova, Venelin Kozhuharov, Peicho Petkov   +2 more
doaj   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Advanced Digital Beamforming Architectures and Operation Modes for and Enhanced SIGNAL Mission Concept

, 2012
Recently, a team of scientist lead by the German Aerospace Center (DLR) have proposed a Ka-band single-pass interferometric mission concept named SIGNAL (SAR for Ice, Glacier aNd globAL Dynamics). SIGNAL main goal is to estimate accurately and repeatedly
López-Dekker, Paco, Younis, Marwan, Garcia, Jose A., Börner, Thomas, Krieger, Gerhard   +4 more
core  

Life Prediction of Rolling Bearing Based on Optimal Time–Frequency Spectrum and DenseNet-ALSTM

Sensors
To address the challenges faced in the prediction of rolling bearing life, where temporal signals are affected by noise, making fault feature extraction difficult and resulting in low prediction accuracy, a method based on optimal time–frequency spectra ...
Jintao Chen, Baokang Yan, Mengya Dong, Bowen Ning   +3 more
doaj   +1 more source