Results 41 to 50 of about 22,182 (296)

Distributed Adaptive Consensus Tracking Control for Second-Order Nonlinear Heterogeneous Multi-Agent Systems with Input Quantization

Machines, 2023
In this paper, the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization is considered.
Linxing Xu, Yang Li
doaj   +1 more source

Analysis and Demonstration of the Quantile Vocoder [PDF]

, 1986
A new scheme for speech compression is proposed, implemented and evaluated in this thesis. In this new scheme, the spectral envelope of the power spectral density of a speech frame is encoded using quartiles or order statistics.
Swaminathan, Kumar
core   +1 more source

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

Advanced Materials, EarlyView.
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens, Francisco Romero‐Lara, Trisha Sai, Kalyan Biswas, Manuel Vilas‐Varela, Thomas Frederiksen, Diego Peña, Fabian Schulz, Jose Ignacio Pascual   +8 more
wiley   +1 more source

WAPS-Quant: Low-Bit Post-Training Quantization Using Weight-Activation Product Scaling

IEEE Access
Post-Training Quantization (PTQ) has been effectively compressing neural networks into very few bits using a limited calibration dataset. Various quantization methods utilizing second-order error have been proposed and demonstrated good performance ...
Geunjae Choi, Kamin Lee, Nojun Kwak
doaj   +1 more source

Second quantization formalism (April 2017)

, 2021
Podeu consultar la versió actualitzada (Abril 2018) a: http://hdl.handle.net/2445/122005A brief account of the second quantization formalism applied to many-electron systems is ...
Paniagua, Juan Carlos
core  

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Survey of Post-Training Quantization Methods (Invited) [PDF]

Jisuanji gongcheng
Post-Training Quantization (PTQ) is an efficient model compression method that converts the parameters of high-precision floating-point models into low-bit integer representations without requiring retraining, using only a small amount of unlabeled ...
ZHANG Junna, WANG Hongzun, DING Chuntao
doaj   +1 more source

Directional Flow of Confined Polaritons in CrSBr

Advanced Materials, EarlyView.
CrSBr, a layered magnetic semiconductor, naturally channels self‐hybridized excitonpolaritons into highly directional flow. Its intrinsic optical anisotropy, high refractive index, and strong lightmatter coupling enable long‐range guided modes along the a‐axis, with propagation lengths set by their excitonphoton admixture.
Pratap Chandra Adak, Sichao Yu, Jaime Abad‐Arredondo, Biswajit Datta, Andy Cruz, Sorah Fischer, Kseniia Mosina, Zdeněk Sofer, Antonio I. Fernández‐Domínguez, Francisco J. Garcia‐Vidal, Vinod M. Menon   +10 more
wiley   +1 more source

A Two-Phase Super-Resolution Quantization Scheme Optimized by Sequential Grading and Data Bias Correction [PDF]

Jisuanji gongcheng
Model quantization technology effectively reduces model storage and computational overhead by mapping high-precision floating-point data to low-bit discrete spaces.
HAO Liang, SU Bohejun, WANG Jinghua, XU Yong
doaj   +1 more source

Closed-Form Sum-Rate Analysis of Interference Alignment with Limited Feedback Based on Scalar Quantization and Random Vector Quantization

Applied Sciences, 2022
Interference alignment (IA) is a promising interference management technique to achieve the theoretical optimal degree of freedom (DoF) performance in multi-user cooperation scenarios.
Long Suo, Fei Liu
doaj   +1 more source