Results 111 to 120 of about 48,878 (307)

INTERPOLATION AND DENOISING OF SEISMIC SIGNALS USING ORTHOGONAL MATCHING PURSUIT ALGORITHM: AN APLICATION IN VSP AND REFRACTION DATA

CT&F Ciencia, Tecnología & Futuro
An implementation of the Orthogonal Matching Pursuit (OMP) algorithm was used and the results obtained therefrom are presented for simultaneous interpolation and denoising from seismic signals in the framework of sparse signal representation.
Rómulo Sandoval-Flórez, José-Luis Paredes, Flor-A Vivas, Francisco Cabrera   +3 more
doaj   +1 more source

Bayesian modelling of music: algorithmic advances and experimental studies of shift-invariant sparse coding

, 2005
In order to perform many signal processing tasks such as classification,pattern recognition and coding, it is helpful to specify a signal model interms of meaningful signal structures. In general, designing such a modelis complicated and for many signals
Blumensath, Thomas
core  

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Image restoration with group sparse representation and low‐rank group residual learning

IET Image Processing
Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image.
Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma   +5 more
doaj   +1 more source

Stable Time-Frequency Contours For Sparse Signal Representation

, 2013
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Yoonseob Lim, Barbara G. Shinn-Cunningham, Timothy J. Gardner   +2 more
openaire   +2 more sources

Mode Domain Spatial Active Noise Control Using Sparse Signal Representation

, 2018
Active noise control (ANC) over a sizeable space requires a large number of reference and error microphones to satisfy the spatial Nyquist sampling criterion, which limits the feasibility of practical realization of such systems.
Maeno, Yu, Abhayapala, Thushara, Thushara D. Abhayapala, Yuki Mitsufuji, Mitsufuji, Yuki, Yu Maeno   +5 more
core   +1 more source

Slip Localization Intensification Mediated by Grain Boundary Sliding in a Polycrystalline Nickel‐Based Superalloy

Advanced Engineering Materials, EarlyView.
The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat, D. Anjaria, I. Woo, C. Bean, D. Texier, J. C. Stinville   +5 more
wiley   +1 more source

Transient Interference Excision and Spectrum Reconstruction with Partial Samples Using Modified Alternating Direction Method of Multipliers-Net for the Over-the-Horizon Radar

Sensors
Transient interference often submerges the actual targets when employing over-the-horizon radar (OTHR) to detect targets. In addition, modern OTHR needs to carry out multi-target detection from sea to air, resulting in the sparse sampling of echo data ...
Zhang Man, Quan Huang, Jia Duan
doaj   +1 more source

Classification of music genres using sparse representations in overcomplete dictionaries

, 2011
This paper presents a simple, but efficient and robust, method for music genre classification that utilizes sparse representations in overcomplete dictionaries.
Rusu, Cristian
core