Sparse相关论文
Over the last two decades, the repeated Interferometric Synthetic Aperture Radar (InSAR) has proven to be useful for acc......
为了克服PIE成像中所面临的数据量过大的问题,将压缩感知理论用于PIE成像。将采样到的衍射斑稀疏变换并压缩后,可以显著减少需要存......
针对机载合成孔径激光雷达实测数据成像中旁瓣较高的问题, 提出一种新旁瓣抑制算法。压缩感知理论表明, 稀疏信号恢复重构过程的同......
Many algorithms have been proposed to find sparse representations over redundant dictionaries or transforms. This paper ......
A novel method is presented to improve the recognition rate of warhead in this paper. Firstly, a tool for electromagneti......
But since coming to China, and choosing to return to running as my preferred option for keeping fit, I have discovered a......
We present an algorithm which can realize 3D stereo vision simultaneous localization and mapping (SLAM) for mobile robot......
Sparse representation has recently been proved to be a powerful tool in image processing and object recognition.This pap......
We demonstrate the use of stochastic collocation to assess the performance of photonic devices under the effect of uncer......
We study through electromagnetic modeling the absorption of light of a given wavelength in an array of horizontal In P n......
Some variational data assimilation(VDA)problems of time-and space-discrete models with on/off parameterizations can be r......
Bofill et al. discussed blind source separation (BSS) of sparse signals in the case of two sensors. However, as Bofill e......
Blind separation of sparse sources (BSSS) is discussed. The BSSS method based on the conventional K-means clustering is ......
An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified methods: one is no......
Compressed sensing is a new signal acquisition method that acquires signal in a compressed form and then recovers the si......
We show the essential ability of sparse signal reconstruction of different compressive sensing strategies,which include ......
This paper introduces a new class of rateless forward error correction(FEC) codes,which are called semi-random Kite(SR-K......
Compressive sensing(CS) techniques offer a framework for the detection and allocation of sparse signal with a reduced nu......
Extracting the parameters of the multipath with high accuracy can be achieved by using high-resolution algorithm for tim......
This paper provides principles and applications of the sparse microwave imaging theory and technology.Synthetic aperture......
分布式压缩感知是用尽可能少线性测量值来表示一个联合稀疏信号。分布式压缩感知联合重构算法是以信号集中的某个信号为边信息,根......
Many algorithms have been proposed to achieve sparse representation over redundant dictionaries or transforms. A compreh......
The model for improving the robustness of sparse principal component analysis(PCA)is proposed in this paper.Instead of t......
Moderate resolution imaging spectroradiometer(MODIS) imaging has various applications in the field of ground monitoring,......
遥感成像的超分辨重建对于提高遥感对象识别成功率非常重要,但在图像重建中会出现样本训练需求量大,从而影响算法效率及重建分辨率......
针对高维数据的Skyline查询处理已经逐渐成为研究的热点,当前主要采用降维方法和k-分桶 skyline 查询算法，但这些算法实现是基于数......
针对电力系统小扰动稳定分析,提出了一种实用的计算关键特征值的方法,使用重启动Arnoldi算法,借助Caylay变换,将关键特征值计算变......
To reduce the network deployment cost and provide voice, message and low rate data services in remote pastoral areas of ......
Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain
This paper deals with the blind separation of nonstationary sources and directionofarrival(DOA) estimation in the underd......
An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified methods: one is no......
Phase spectrum estimation of the seismic wavelet is an important issue in high-resolution seismic data processing and in......
Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain
This paper deals with the blind separation of nonstation-ary sources and direction-of-arrival (DOA) estimation in the un......
概率预测有别于期望值预测,能够提供被预测量的概率分布信息。文中提出一种基于分量稀疏贝叶斯学习的风电场短期输出功率概率预测......
High-dimensional and sparse(HiDS)matrices commonly arise in various industrial applications,e.g.,recommender systems(RSs......
目前的经典多尺度系统Curverlet、Contourlet存在的主要缺点之一是它们无法将连续性与数字世界进行统一处理,而Shearlet系统是目前......
近年来很多学者开展了模糊积分的相关研究,并将模糊积分应用于各种分类问题,而模糊测度的确定则是模糊积分计算的重点和难点。将并......
针对欠定时的盲信号分离，提出了局部充分稀疏条件下估计混叠矩阵A的新算法．该算法不要求源信号所有采样时刻都充分稀疏，先通过搜索，把......
针对基于FFT的MP信号稀疏分解算法中存在的计算量过大的问题,提出了改进算法.改进算法充分利用了当FFT算法的变换长度是2的整数次......
提出了一种在稀疏分解框架下的超声信号反卷积模型，改善了超声成像的质量。该模型包含两个正则项，分别约束信号的光滑性和字典表示的......
对稀疏路径的自适应声回波对消算法进行了讨论，提出一种稀疏置零归一化解相关LMS自适应滤波算法（简称SSKNDLMS）．该算法综合了稀疏算法，......
着重研究在通信链路易中断的稀疏Ad hoc网络环境中的数据传输问题。提出了链路预补偿算法,首先给出了关键节点的定义与探测算法,然......
利用传统的协同过滤(CF)算法进行推荐时,由于用户评分矩阵比较稀疏,直接得到的用户或者项目之间的相似度相对而言可信度就比较低。......
以昌吉地区河流水系为例,利用稀疏主成份分析研究了45 a的历史年径流量数据,并用R语言来实现,得出的主要稀疏成份中包含的河流与通......
Pulse-Pair Interference Automatic Detection and Mitigation for L-Band Aeronautical Communication Sys
Pulse-pairs (PP) generated by distance measuring equipment (DME) cause severe interference to the L-band digital aeronau......
针对目前基于字典学习的图像超分辨率重建效果欠佳或字典训练时间过长的问题,本文提出了一种耦合特征空间下改进字典学习的图像超......
本文探讨了一种基于低秩矩阵恢复的字典优化设计,结合分块相似性嵌入稀疏编码,采用图像非重叠分块进行人脸关键部位图像子块的获取......
A method to detect traffic dangers based on visual attention model of sparse sampling was proposed. The hemispherical sp......
采用较新的压缩感知理论,通过Harr正交稀疏变换和伯努利采样矩阵,实现了对灰度图像的低速压缩采样,并利用正交匹配追踪算法实现压......
针对压缩感知（Compressive Sensing,CS）在信号重构时稀疏度往往未知,导致过估计及重构误差变大、复杂度高等问题,通过分析重构残差与......
压缩感知是信号处理领域热门研究课题,其应用前提为原信号是稀疏或可压缩的。时域非稀疏信号可以变换为频域稀疏信号,但变换后的信......
