Results 61 to 70 of about 4,803 (262)

Evolution of compressed sensing theory and dynamic electric energy measurement method

Diance yu yibiao
This paper expounds the evolution process of compressed sensing signal sparse model, measurement matrix construction, reconstruction algorithm design, compressed measurement and compressed sensing hardware signal processing system, and puts forward that ...
WU Wenqian, WANG Xuewei
doaj   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Common artefacts encountered on images acquired with combined compressed sensing and SENSE

Insights into Imaging, 2018
Various techniques have been proposed which aim at scan time reduction and/or at improved image quality by increasing the spatial resolution. Compressed sensing (CS) takes advantage of the fact that MR images are usually sparse in some transform domains ...
Thomas Sartoretti, Carolin Reischauer, Elisabeth Sartoretti, Christoph Binkert, Arash Najafi, Sabine Sartoretti-Schefer   +5 more
doaj   +1 more source

A Cu‐Based Near‐IR Active MOF with an Ion‐Pair Guest Exhibiting Versatile and Selective Gas‐Solid Reactivity

Advanced Materials, EarlyView.
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha, Alejandro Cortés‐Villena, Silvia Gómez‐Coca, Alberto Fernández‐Alarcón, Joaquín Calbo, Raquel E. Galian, Enrique Ortí, Eliseo Ruiz, Mónica Giménez‐Marqués, Samia Benmansour, Carlos J. Gómez‐García   +10 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

The optimally designed autoencoder network for compressed sensing

EURASIP Journal on Image and Video Processing, 2019
Compressed sensing (CS) is a signal processing framework, which reconstructs a signal from a small set of random measurements obtained by measurement matrices.
Zufan Zhang, Yunfeng Wu, Chenquan Gan, Qingyi Zhu   +3 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Noise Folding in Completely Perturbed Compressed Sensing

Journal of Applied Mathematics, 2016
This paper first presents a new generally perturbed compressed sensing (CS) model y=(A+E)(x+u)+e, which incorporated a general nonzero perturbation E into sensing matrix A and a noise u into signal x simultaneously based on the standard CS model y=Ax+e ...
Limin Zhou, Xinxin Niu, Jing Yuan
doaj   +1 more source

Highly Entangled Bottlebrush Polymer Networks

Advanced Materials, EarlyView.
Bottlebrush polymers are difficult to entangle, enabling ultrasoft yet brittle networks. We report highly entangled bottlebrush elastomers that remain ultrasoft (∼1 kPa) yet stretch to ∼1800% and exhibit exceptional fatigue resistance. Their intrinsic fatigue strength—fatigue threshold normalized by modulus—surpasses that of highly entangled linear ...
Myoeum Kim, Baiqiang Huang, Shiwang Cheng, Li‐Heng Cai   +3 more
wiley   +1 more source

Semiblind Compressed Sensing: A Bidirectional-Driven Method for Spatiotemporal Fusion of Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spatiotemporal remote sensing imaging is one of the most important ways to continuously monitor the Earth. Due to some technical limitations, it is still not easy to obtain images with high-temporal-high-spatial resolution.
Peng Liu, Lizhe Wang, Jia Chen, Yongchuan Cui   +3 more
doaj   +1 more source