Automotive radar—From first efforts to future systems

C Waldschmidt, J Hasch… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Although the beginning of research on automotive radar sensors goes back to the 1960s,
automotive radar has remained one of the main drivers of innovation in millimeter wave …

Single-pixel imaging 12 years on: a review

GM Gibson, SD Johnson, MJ Padgett - Optics express, 2020 - opg.optica.org
Modern cameras typically use an array of millions of detector pixels to capture images. By
contrast, single-pixel cameras use a sequence of mask patterns to filter the scene along with …

压缩感知回顾与展望

焦李成, 杨淑媛, 刘芳, 侯彪 - 电子学报, 2011 - ejournal.org.cn
压缩感知是建立在矩阵分析, 统计概率论, 拓扑几何, 优化与运筹学, 泛函分析等基础上的一种
全新的信息获取与处理的理论框架. 它基于信号的可压缩性, 通过低维空间, 低分辨率, 欠Nyquist …

Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends

G Xu, B Zhang, H Yu, J Chen, M Xing… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

[PDF][PDF] 压缩感知研究

戴琼海, 付长军, 季向阳 - 计算机学报, 2011 - cjc.ict.ac.cn
摘要经典的香农采样定理认为, 为了不失真地恢复模拟信号, 采样频率应该不小于奈奎斯特频率(
即模拟信号频谱中的最高频率) 的两倍. 但是其中除了利用到信号是有限带宽的假设外 …

[PDF][PDF] 压缩传感综述

李树涛, 魏丹 - 自动化学报, 2009 - aas.net.cn
摘要在传统采样过程中, 为了避免信号失真, 采样频率不得低于信号最高频率的2 倍.
然而对于数字图像, 视频的获取, 依照香农(Shannon) 定理会导致海量采样数据 …

[HTML][HTML] 合成孔径雷达三维成像——从层析, 阵列到微波视觉

丁赤飚, 仇晓兰, 徐丰, 梁兴东, 焦泽坤, 张福博 - 雷达学报, 2019 - radars.ac.cn
合成孔径雷达三维成像——从层析,阵列到微波视觉 作者中心 专家审稿 责编办公 编辑办公
首页 论文 1.当期论文 2.全部论文 3.优先发表 数据 1.雷达对海探测数据 2.SAR样本数据集 3.多源 …

Compressed sensing off the grid

G Tang, BN Bhaskar, P Shah… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper investigates the problem of estimating the frequency components of a mixture of
s complex sinusoids from a random subset of n regularly spaced samples. Unlike previous …

Compressive sensing: From theory to applications, a survey

S Qaisar, RM Bilal, W Iqbal… - Journal of …, 2013 - ieeexplore.ieee.org
Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much
more efficient way than the established Nyquist sampling theorem. CS has recently gained a …

The split Bregman method for L1-regularized problems

T Goldstein, S Osher - SIAM journal on imaging sciences, 2009 - SIAM
The class of L1-regularized optimization problems has received much attention recently
because of the introduction of “compressed sensing,” which allows images and signals to be …