Results 31 to 40 of about 369,200 (324)

Receiver Energy Efficiency and Transmission Latency Analysis of Outage-Constrained Differential PSK With a Finite Resolution ADC

IEEE Access, 2021
We consider a power constrained downlink communication scenario where energy efficiency, reliability, and latency take precedence over rate, as in some Internet of Things (IoT) applications.
Sherief Helwa, Naofal Al-Dhahir
doaj   +1 more source

About its own time and the mass of the universe

St. Petersburg Polytechnical University Journal: Physics and Mathematics, 2021
A modification of the quantum theory of gravity in the case of a closed universe, in which the dynamics is reduced to the motion in the orbit of a group of general covariance, is proposed.
Gorobey Natalia, Lukyanenko Alexander, Goltsev Alexander   +2 more
doaj   +1 more source

Graph quantization

Computer Vision and Image Understanding, 2011
Vector quantization(VQ) is a lossy data compression technique from signal processing, which is restricted to feature vectors and therefore inapplicable for combinatorial structures. This contribution presents a theoretical foundation of graph quantization (GQ) that extends VQ to the domain of attributed graphs.
Jain, Brijnesh J., Obermayer, Klaus
openaire   +2 more sources

Quantum-Classical Correspondence of Dynamical Observables, Quantization and the Time of Arrival Correspondence Problem

, 2002
We raise the problem of constructing quantum observables that have classical counterparts without quantization. Specifically we seek to define and motivate a solution to the quantum-classical correspondence problem independent from quantization and ...
AA Kirilov, C Tzanakis, E. A. Galapon, GB Folland, GW Mackey, H Weyl, HJ Groenwold, I Egusquiza, JM Jauch, L van Hove, LE Ballentine, M Trindale, RF Werner, SR de Groot, TA Brun, W Zhang   +15 more
core   +1 more source

Communication Efficient Federated Learning With Quantization-Aware Training Design

IEEE Transactions on Machine Learning in Communications and Networking
Model quantization is an effective method that can improve communication efficiency in federated learning (FL). The existing FL quantization protocols almost stay at the level of post-training quantization (PTQ), which comes at the cost of large ...
Xiang Fang, Li Chen, Huarui Yin, Xiaohui Chen, Weidong Wang   +4 more
doaj   +1 more source

Branched Quantization

Physical Review Letters, 2012
We propose a method for quantization of Lagrangians for which the Hamiltonian, as a function of momentum, is a branched function with cusps. Appropriate boundary conditions, which we identify, insure unitary time evolution. In special cases a dual (canonical) transformation maps the problem into a problem of quantum mechanics on singular spatial ...
Shapere, Alfred, Wilczek, Frank
openaire   +5 more sources

Quantization Goes Polynomial [PDF]

SSRN Electronic Journal, 2017
Quantization algorithms have been successfully adopted to option pricing in finance thanks to the high convergence rate of the numerical approximation. In particular, very recently, recursive marginal quantization has been proven to be a flexible and versatile tool when applied to stochastic volatility processes.
Giorgia Callegaro, Lucio Fiorin, Andrea Pallavicini   +2 more
openaire   +2 more sources

Generalized residual vector quantization for large scale data

, 2016
Vector quantization is an essential tool for tasks involving large scale data, for example, large scale similarity search, which is crucial for content-based information retrieval and analysis.
Liu, Shicong, Lu, Hongtao, Shao, Junru
core   +1 more source

Analytic Quantization of the QCD String [PDF]

, 2001
We perform an analytic semi-classical quantization of the straight QCD string with one end fixed and a massless quark on the other, in the limits of orbital and radial dominant motion.
A. Chodos, A. M. Polyakov, A. Yu. Dubin, A. Yu. Dubin, C. Olson, C. Olson, Charles Goebel, D. LaCourse, G. S. Bali, I. Bars, I. Bars, K. Johnson, K. Kikkawa, L. Susskind, M. G. Olsson, M. G. Olsson, M. G. Olsson, M. G. Olsson, M. Ida, M. S. Child, N. Brambilla, R. E. Langer, Siniša Veseli, T. Goto, T. J. Allen, T. J. Allen, T. J. Allen, T. J. Allen, Theodore J. Allen, V. L. Morgunov   +29 more
core   +2 more sources

Nonlinear Quantization Method of SAR Images with SNR Enhancement and Segmentation Strategy Guidance

Remote Sensing
The quantization process of synthetic aperture radar (SAR) images faces significant challenges due to their high dynamic range, resulting in notable quantization distortion.
Zijian Yao, Linlin Fang, Junxin Yang, Lihua Zhong   +3 more
doaj   +1 more source