scholarly journals Range‐ambiguity suppression for noise radar in cluttered environment via sparse recovery

2021 ◽  
Author(s):  
Xingyu Lu ◽  
Wenchao Yu ◽  
Mengying Xia ◽  
Weimin Su ◽  
Hong Gu
Keyword(s):  
Sparse Recovery ◽  
Range Ambiguity ◽  
Cluttered Environment ◽  
Noise Radar

Range-Doppler image reconstruction for collocated MIMO noise radar by sparse recovery

2022 ◽  
Vol 13 (3) ◽  
pp. 279-289
Author(s):  
Xingyu Lu ◽  
Jianchao Yang ◽  
Ke Tan ◽  
Weimin Su ◽  
Hong Gu
Keyword(s):  
Image Reconstruction ◽  
Sparse Recovery ◽  
Noise Radar ◽  
Doppler Image

A brief attachment perspective on hoarding

2020 ◽  
Vol 14 (2) ◽  
pp. 168-170
Author(s):  
Linda Cundy
Keyword(s):  
Cluttered Environment

Working online during lockdown, psychotherapists have glimpsed inside their clients' homes and sometimes we see a cluttered environment. This article addresses the difficulty experienced by many people of parting with objects, proposing that we identify with our possessions and invest them with feelings in line with our own experiences.

SegOMP: Sparse Recovery with Fewer Measurements

2014 ◽  
Vol E97.A (3) ◽  
pp. 862-864 ◽  
Author(s):  
Li ZENG ◽  
Xiongwei ZHANG ◽  
Liang CHEN ◽  
Weiwei YANG
Keyword(s):  
Sparse Recovery

Noise Radar Technology

2001 ◽  
Vol 55 (12) ◽  
pp. 9 ◽  
Author(s):  
K. A. Lukin
Keyword(s):  
Noise Radar

A Sparse Recovery Algorithm Based on Particle Swarm Optimization

2014 ◽  
Vol 35 (11) ◽  
pp. 2733-2738
Author(s):  
Lu-feng Liu ◽  
Xin-peng Du ◽  
Li-zhi Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Sparse Recovery ◽  
Swarm Optimization ◽  
Recovery Algorithm

Return to Meaning

2017 ◽  
Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen
Keyword(s):  
Social Science ◽  
No Value ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Political Life ◽  
Cluttered Environment ◽  
Student Fees ◽  
Social Uses

This book argues that we are currently witnessing not merely a decline in the quality of social science research, but a proliferation of meaningless research of no value to society and modest value to its authors—apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, but more impressive contributions are easily neglected as the premium is to write and publish, not read and learn. The result is a widespread cynicism among academics on the value of academic research, sometimes including their own. Publishing comes to be seen as a game of hits and misses, devoid of intrinsic meaning and value and of no wider social uses whatsoever. This is what the book views as the rise of nonsense in academic research, which represents a serious social problem. It undermines the very point of social science. This problem is far from ‘academic’. It affects many areas of social and political life entailing extensive waste of resources and inflated student fees as well as costs to taxpayers. The book’s second part offers a range of proposals aimed at restoring meaning at the heart of social science research, and drawing social science back, address the major problems and issues that face our societies.

Near-field wideband source localisation from the sparse recovery perspective via the spatial-only modelling of array data

2018 ◽  
Vol 12 (8) ◽  
pp. 907-913 ◽  
Author(s):  
Xuezhi Yan ◽  
Yanxin Wen ◽  
Guohong Liu
Keyword(s):  
Near Field ◽  
Sparse Recovery ◽  
Array Data ◽  
Source Localisation

scholarly journals Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Designs ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 37
Author(s):  
Maxime Vaidis ◽  
Martin J.-D. Otis
Keyword(s):  
Literature Review ◽  
Research Trends ◽  
Cluttered Environment ◽  
Advantages And Disadvantages ◽  
Population Migrations ◽  
New Research ◽  
Interaction Strategy ◽  
Crowded Environment

Recent population migrations have led to numerous accidents and deaths. Little research has been done to help migrants in their journey. For this reason, a literature review of the latest research conducted in previous years is required to identify new research trends in human-swarm interaction. This article presents a review of techniques that can be used in a robots swarm to find, locate, protect and help migrants in hazardous environment such as militarized zone. The paper presents a swarm interaction taxonomy including a detailed study on the control of swarm with and without interaction. As the interaction mainly occurs in cluttered or crowded environment (with obstacles) the paper discussed the algorithms related to navigation that can be included with an interaction strategy. It focused on comparing algorithms and their advantages and disadvantages.

An MTD Algorithm Based on Fuzzy Mathematics and Sparse Recovery for Airborne Radar

2021 ◽  
Author(s):  
Yuanyuan Wang ◽  
Zhiqi Gao ◽  
Pingping Huang ◽  
Wei Xu
Keyword(s):  
Sparse Recovery ◽  
Fuzzy Mathematics ◽  
Airborne Radar
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