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......
