Results 41 to 50 of about 7,185 (222)

ADMM–Net: A Deep Learning Approach for Parameter Estimation of Chirp Signals Under Sub-Nyquist Sampling

open access: yesIEEE Access, 2020
Parameter estimation of chirp signals plays an important role in the field of radar countermeasures. Compressed sensing (CS) based sub-Nyquist sampling and parameter estimation methods alleviates the pressure on hardware systems to acquire and process ...
Hanning Su, Qinglong Bao, Zengping Chen
doaj   +1 more source

A Simple Check Polytope Projection Penalized Algorithm for ADMM Decoding of LDPC Codes

open access: yesIEEE Access, 2023
ADMM penalized decoding method for Low-Density Parity-Check (LDPC) Codes can improve the frame error rate (FER) performance than the standard ADMM decoder by adding penalty terms to the objective function.
Huiyang Liu   +4 more
doaj   +1 more source

Proximal ADMM for nonconvex and nonsmooth optimization

open access: yesAutomatica, 2022
15 pges, 3 ...
Yu Yang 0008   +4 more
openaire   +3 more sources

Parameter Estimation with the Ordered 2 Regularization via an Alternating Direction Method of Multipliers

open access: yesApplied Sciences, 2019
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than ...
Mahammad Humayoo, Xueqi Cheng
doaj   +1 more source

Novel approach for sparse aperture inverse synthetic aperture radar imaging via improved alternating direction method of multipliers algorithm

open access: yesIET Radar, Sonar & Navigation, 2023
As a new algorithm to achieve sparse aperture inverse synthetic aperture radar (SA‐ISAR) imaging, the alternating direction method of multipliers (ADMM) suffers from selection of model parameters and the inability to discriminate the target and non ...
Jiaxing Yang, Yong Wang, Yu Ma
doaj   +1 more source

A General Analysis of the Convergence of ADMM

open access: yesCoRR, 2015
We provide a new proof of the linear convergence of the alternating direction method of multipliers (ADMM) when one of the objective terms is strongly convex. Our proof is based on a framework for analyzing optimization algorithms introduced in Lessard et al. (2014), reducing algorithm convergence to verifying the stability of a dynamical system.
Robert Nishihara   +4 more
openaire   +3 more sources

Research on Coordinated Optimization and Dispatch of Multi⁃Microgrid Systems Based on ADMM

open access: yesLiaoning Shiyou Huagong Daxue xuebao
This paper proposes a distributed coordinated optimization method for multi⁃microgrid systems based on the Alternating Direction Method of Multipliers (ADMM). The proposed model comprehensively accounts for generation costs, energy storage operation, and
Qiwen LIU, Shiyu DU, Yuanbo SHI
doaj   +1 more source

Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers

open access: yesIET Signal Processing, 2022
Multiple‐input multiple‐output (MIMO) radar waveform design in a spectrally crowded environment is a challenging problem. In this study, the issue of MIMO radar waveform design in coexistence with communication systems is investigated by maximising the ...
Rui Yang   +3 more
doaj   +1 more source

Distributed reactive power optimization based on adaptive federated learning and ADMM

open access: yesZhejiang dianli
To address the need for efficient and reliable reactive power optimization in interconnected power grids with high penetration of distributed energy resources, as well as the constraint that sensitive operational data cannot be directly shared across ...
LIU Zhiyuan, XU Jiangjiao
doaj   +1 more source

Regional Confl icts in East Asia – a Role for China

open access: yesСравнительная политика, 2016
The Rise of China occurs in an adaptive and reactive regional system, giving impetus to the development of inclusive and expansive security architecture.
J.F. Gregg
doaj   +1 more source

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