Results 1 to 10 of about 166,468,241 (292)

Hybrid FSK-PSK Waveform Optimization for Radar Based on Alternating Direction Method of Multiplier (ADMM) [PDF]

open access: yesSensors, 2021
In this paper, a new radar signal modulated with a hybrid of the frequency shift keying (FSK) and the phase shift keying (PSK) signal—i.e., the FSK-PSK signal—is studied.
Zhiting Fei   +4 more
doaj   +4 more sources

Alternating direction method of multiplier for tomography with nonlocal regularizers. [PDF]

open access: yesIEEE Trans Med Imaging, 2014
The ordered subset expectation maximization (OSEM) algorithm approximates the gradient of a likelihood function using a subset of projections instead of using all projections so that fast image reconstruction is possible for emission and transmission tomography such as SPECT, PET, and CT.
Chun SY, Dewaraja YK, Fessler JA.
europepmc   +7 more sources

A Parallel Algorithm for Hyperspectral Target Detection Based on Weighted Alternating Direction Method of Multiplier

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Target detection for hyperspectral images (HSIs) is one of the significant techniques in remote sensing data processing. Targets generally comprise various object categories with complex features and of varying sizes.
Kun Yu   +6 more
doaj   +4 more sources

An Alternating Direction Multiplier Method for the Inversion of FDEM Data [PDF]

open access: yesJournal of Scientific Computing
AbstractIn this paper, we focus on the numerical solution of nonlinear inverse problems in applied geophysics. Our aim is to reconstruct the structure of the soil, i.e., either its electrical conductivity or the magnetic permeability distribution, by inverting frequency domain electromagnetic data.
Patricia Diaz de Alba   +2 more
exaly   +3 more sources

Extrapolation Accelerated Linear Alternating Direction Multiplier Method for Split Feasibility Problems and Its Global Convergence [PDF]

open access: yesJisuanji kexue, 2023
This paper deals with a linear alternating direction multiplier method (ADMM) for Split feasibility problems (SFP).More specifically,the SFP has been formulated as a separable convex minimization problem with linear constraints,and then extrapolation ...
LIU Yang, XUE Zhonghui, WANG Yongquan, CAO Yongsheng
doaj   +2 more sources

Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method

open access: yesEnergies, 2018
With the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch.
Changsen Feng   +5 more
doaj   +3 more sources

An Adaptive Alternating Direction Method of Multipliers

open access: yesJournal of Optimization Theory and Applications, 2022
AbstractThe alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applicability, a growing attention is drawn toward the ADMM in nonconvex settings.
Sedi Bartz, Rubén Campoy, Hung M. Phan
openaire   +5 more sources

An Energy-Efficient Optimal Operation Control Strategy for High-Speed Trains via a Symmetric Alternating Direction Method of Multipliers

open access: yesAxioms, 2023
Train operation control is of great importance in reducing train operation energy consumption and improving railway operation efficiency. This paper investigates the design of optimal control inputs for multiple trains on a single railway line with ...
Shan Ma, Feng Ma, Chaoyu Tang
doaj   +1 more source

An Adaptive Low Computational Cost Alternating Direction Method of Multiplier for RELM Large-Scale Distributed Optimization

open access: yesMathematics, 2023
In a class of large-scale distributed optimization, the calculation of RELM based on the Moore–Penrose inverse matrix is prohibitively expensive, which hinders the formulation of a computationally efficient optimization model.
Ke Wang   +4 more
doaj   +1 more source

Truncated Fractional-Order Total Variation for Image Denoising under Cauchy Noise

open access: yesAxioms, 2022
In recent years, the fractional-order derivative has achieved great success in removing Gaussian noise, impulsive noise, multiplicative noise and so on, but few works have been conducted to remove Cauchy noise. In this paper, we propose a novel nonconvex
Jianguang Zhu   +3 more
doaj   +1 more source

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