Results 161 to 170 of about 5,861 (218)

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Multifunctional Solid Polymer Electrolyte Films Integrating Intrinsic Self‐Healing and Dual Photo‐/pH‐Responsive Ionic Sensing for Intelligent Flexible Electronics

Advanced Functional Materials, EarlyView.
Multifunctional solid polymer electrolyte (SPE) films integrating intrinsic self‐healing, mechanical stretchability, and dual photo‐ and pH‐responsive ionic conductivity are developed. Constructed from thermoplastic polyurethane (TPU) and hydrogen‐bonded poly(thiourea triethylene glycol) (PTUEG3), these films form a dynamic supramolecular network ...
Mei‐Li Li, Tse‐Yu Lo, Chia‐Wei Chang, Yen‐Shen Hsu, Chen‐Yi Chien, Yu‐Yao Huang, Chia‐Ti Wu, Chun‐Chi Chang, Bo‐Chen Chen, Heng‐Hsuan Su, Chin‐Hua Liu, Che‐Ning Yeh, Jiun‐Tai Chen   +12 more
wiley   +1 more source

Bioinspired Co‐Assembly Enables Multiscale Architected Hydrogels for 3D Printing With Integrated Antibacterial and Bioactive Functions

Advanced Functional Materials, EarlyView.
A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov, Francesca Netti, Sigal Rencus‐Lazar, Moran Aviv, Lihi Adler‐Abramovich   +4 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Reconstruction of multidimensional digital signals

International Journal of Wavelets, Multiresolution and Information Processing, 2022
We study the reconstruction of multidimensional digital signals in multirate digital signal processing. We show that the composition of sampling operator and interpolation operator forms the frame operator of multivariate discrete time wavelet (MDTW) system of scale matrix [Formula: see text].
Poonam Mantry, Khole Timothy Poumai, Shiv Kumar Kaushik   +2 more
openaire   +2 more sources

Reconstruction of Repetitive Signals

Methods of Information in Medicine, 1994
Abstract:A technique is presented for the reconstruction of signals that suffered sampling-frequency decimation. Two assumptions are made: the original signal has to be repetitive, and no anti-aliasing filter has been used before frequency decimation.
R J, Schijvenaars, J A, Kors, J H, van Bemmel   +2 more
openaire   +2 more sources

Robust signal-structure reconstruction

52nd IEEE Conference on Decision and Control, 2013
This paper focuses on the reconstruction of the signal structure of a system in the presence of noise and nonlinearities. Previous results on polynomial time reconstruction in this area were restricted to systems where target specificity was part of the inherent structure, [5]. This work extends these results to all reconstructible systems and proposes
Vasu Chetty, David P. Hayden, Jorge M. Gonçalves, Sean Warnick   +3 more
openaire   +2 more sources

A new iterative reconstruction scheme for signal reconstruction

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, 2008
Projection Onto Convex Sets (POCS) is an iterative method to obtain the information from one domain using the information available in other domains, and it has been widely used in image restoration problems and block-based DCT compression standards as a post-processing scheme.
Honglin Huang, Anamitra Makur
openaire   +1 more source

Ginibre sampling and signal reconstruction

2016 IEEE International Symposium on Information Theory (ISIT), 2016
The spatial distribution of sensing nodes plays a crucial role in signal sampling and reconstruction via wireless sensor networks. Although homogeneous Poisson point process (PPP) model is widely adopted for its analytical tractability, it cannot be considered a proper model for all experiencing nodes.
ZABINI, FLAVIO, Conti, Andrea
openaire   +1 more source

Selection of observations in signal reconstruction

IEEE Transactions on Signal Processing, 1993
In some signal reconstruction problems, the observation equations can be used as a priori information for selecting the best combination of observations before acquiring them. In the present correspondence, the authors define a selection criterion and propose efficient methods for optimizing the criterion with respect to the combination of observations.
Stanley J. Reeves, Larry P. Heck
openaire   +2 more sources

Sensitivity of signal reconstruction

IEEE Signal Processing Letters, 1997
A method of assessing the quality of reconstructing signals from finite sets of samples is presented. The assessment uses a sensitivity function that provides information about the reliability of the reconstructed signal at every time instant. The sensitivity function equals zero where the reconstruction is perfect (sampling instants) and achieve ...
openaire   +1 more source