[引用][C] 虚拟阵列下的相干信号测向算法

甄佳奇, 丁群, 赵冰 - 系统工程与电子技术, 2010

提高分辨率的带宽外推SAR 成像算法

张平, 杨汝良 - 测试技术学报, 2009 - cqvip.com
分析了合成孔径雷达(SAR) 的图像信号模型, 阐述了应用数据外推方法提高分辨率的可行性.
提出一种最小方差谱估计和最小加权范数约束结合的非参数类数据外推方法. 该方法外推SAR …

An l0 norm based method for frequency estimation from irregularly sampled data

MM Hyder, K Mahata - 2010 IEEE International Conference on …, 2010 - ieeexplore.ieee.org
We present a frequency estimation method based on a sparse representation of irregular
samples with an overcomplete basis. We enforce sparsity by imposing penalties based on …

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

J Huang, W Hu, M Ghogho, Q Xin, X Du… - Advances in space …, 2012 - Elsevier
The increase in space debris can seriously threaten regular activities in the Low Earth Orbit
(LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable …

[PDF][PDF] ГЕОЛОГИЯ И ГЕОЛОГО-РАЗВЕДОЧНЫЕ РАБОТЫ

ЛА Ушаков, ДК Дмитрачков, АА Мерецкий… - НЕФТЯНОЕ …, 2023 - ipgg.sbras.ru
Для цитирования: Разработка и применение графа азимутальной обработки
сейсмических данных на примере одного из участков ПАО «НК «Роснефть»/ЛА Ушаков …

An iterative procedure for ultra-wideband imagery of space objects from distributed multi-band radar data

X Xu, F He - Unconventional Imaging and Wavefront Sensing …, 2014 - spiedigitallibrary.org
A novel technique is proposed for ultra-wideband imagery of space objects from distributed
multi-band radar data. The complex exponential (CE) model is used for representation of …

[图书][B] Algorithm development for sparse signal recovery and performance limits using multiple-user information theory

Y Jin - 2011 - search.proquest.com
The problem of sparse signal recovery can be formulated as a problem of finding a sparse
solution X∈[special characters omitted] to an underdetermined system of equations [special …

On the convergence of wavelet-based iterative signal extrapolation algorithms

LC Lin, XG Xia, CCJ Kuoc - Signal processing, 1996 - Elsevier
A generalized Papoulis-Gerchberg (PG) algorithm for signal extrapolation based on the
wavelet representation has been recently proposed by Xia, Kuo and Zhang. In this research …

Principal component separation in sparse signal recovery for harmonic retrieval

SD Cabrera, T Boonsri, AE Brito - Sensor Array and …, 2002 - ieeexplore.ieee.org
Methods for best basis selection (BBS) can be used to address the problem of harmonic
retrieval using a large basis of harmonically related complex sinusoids with an iterative …

Estimation of sinusoids by adaptive minimum norm extrapolation

SD Cabrera, JT Yang, CH Chi - Fifth ASSP Workshop on …, 1990 - ieeexplore.ieee.org
A series of algorithms are described in order of increasing complexity and improved
performance. The original scheme of Papoulis and Chamzas (1979) serves as a model for …