Results 91 to 100 of about 150,988 (321)

An efficient algorithm for compression-based compressed sensing [PDF]

arXiv, 2017
Modern image and video compression codes employ elaborate structures existing in such signals to encode them into few number of bits. Compressed sensing recovery algorithms on the other hand use such signals' structures to recover them from few linear observations.
arxiv  

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing

Advances in Mathematical Physics, 2015
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of the 3D spatial distribution of superparamagnetic iron oxide nanoparticles.
A. Weber, T. Knopp
doaj   +1 more source

BREAKING THE COHERENCE BARRIER: A NEW THEORY FOR COMPRESSED SENSING

Forum of Mathematics, Sigma, 2017
This paper presents a framework for compressed sensing that bridges a gap between existing theory and the current use of compressed sensing in many real-world applications.
BEN ADCOCK, ANDERS C. HANSEN, CLARICE POON, BOGDAN ROMAN   +3 more
doaj   +1 more source

Low Energy Consumption Compressed Spectrum Sensing Based on Channel Energy Reconstruction in Cognitive Radio Network

Sensors, 2020
For wireless communication networks, cognitive radio (CR) can be used to obtain the available spectrum, and wideband compressed sensing plays a vital role in cognitive radio networks (CRNs).
Yuan Fang, Lixiang Li, Yixiao Li, Haipeng Peng, Yixian Yang   +4 more
doaj   +1 more source

Deterministic Compressed Sensing Matrices from Additive Character Sequences [PDF]

arXiv, 2010
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this correspondence, a $K \times N$ measurement matrix for compressed sensing is deterministically constructed via additive character sequences. The Weil bound is then used to show that the matrix has asymptotically optimal coherence for $
arxiv  

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

Advanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör, Moritz Grünewald, Kevin Popp, Ihsan Murat Kusoglu, Stephan Barcikowski, Stan Gann, Thomas Schuffenhauer, Martin Bastian, Claas Bierwisch, Johannes Rudloff   +9 more
wiley   +1 more source

Compressed sensing image restoration algorithm based on improved SURF operator

Open Physics, 2018
Aiming at the excellent descriptive ability of SURF operator for local features of images, except for the shortcoming of global feature description ability, a compressed sensing image restoration algorithm based on improved SURF operator is proposed. The
Zhou Guodong, Zhang Huailiang, Lucas Raquel Martínez   +2 more
doaj   +1 more source

Using Correlated Subset Structure for Compressive Sensing Recovery [PDF]

arXiv, 2013
Compressive sensing is a methodology for the reconstruction of sparse or compressible signals using far fewer samples than required by the Nyquist criterion. However, many of the results in compressive sensing concern random sampling matrices such as Gaussian and Bernoulli matrices.
arxiv  

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source