Nonconvex L1/2 Minimization Based Compressive Sensing Approach for Duct Azimuthal Mode Detection-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Nonconvex L1/2 Minimization Based Compressive Sensing Approach for Duct Azimuthal Mode Detection

Published:2020-09 Issue:9 Volume:58 Page:3932-3946
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

Bai Baohong¹,Li Xiaodong²,Zhang Tao³,Lin Dakai³

Affiliation:

1. Tsinghua University, 100084 Beijing, People’s Republic of China

2. Beihang University, 100191 Beijing, People’s Republic of China

3. Beijing Aircraft Technology Research Institute of Commercial Aircraft Corporation of China, Ltd., 102211 Beijing, People’s Republic of China

Funder

Key Laboratory of Aerodynamic Noise Control

National Key Research

National Science Foundation of China

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Reference37 articles.

1. Fan Noise Reduction: An Overview

2. Fan noise prediction - Status and needs

3. Theory and Measurement of Modal Spectra in Hard‐Walled Cylindrical Ducts

4. Measurement of radial and circumferential modes in annular and circular fan ducts

5. Acoustic mode measurements in the inlet of a turbofan engine

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced ℓ1/2 regularization via dual Iterative Half Thresholding for azimuthal mode identification;Measurement;2025-02

2. Mode identification of fan tonal noise in cylindrical duct based on Bayesian compressive sensing;Applied Acoustics;2024-06

3. Optimal microphone selection for aero-engine acoustic measurement;Aerospace Science and Technology;2024-05

4. An Experimental Study of Transfer Learning for Mode Detection of Aeroengine Fan Noise;2024

5. Application of Compressed Sensing Method With ℓ1/2-Norm in Fan/Compressor Mode Detection;Journal of Engineering for Gas Turbines and Power;2023-09-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3