This paper introduces a novel data structure used to store sparse matrices optimally -minimizing the space of the matrix representation and the time complexity of an access to the matrix element. The size of our
sparse-matrix-representation网页 图片 视频 学术 词典 航班 sparse matrix representation 美 英 un.稀疏矩阵表示法 英汉 un. 1. 稀疏矩阵表示法 例句 释义: 全部,稀疏矩阵表示法 更多例句筛选 1. Document Image Processing Based on Sparse Matrix Representation 稀疏矩阵文档图像处理 www.ilib.cn...
Journal of Electromagnetic Waves and ApplicationsHou Z G; Wang C; Yin H C.Multilevel thresholding method for a sparse representation of reduced matrix in CBFM.Journal of Electromagnic Waves and Applieations.2010.2605-2614Hou Z G, Wang C, Yin H C. Multilevel thresholding method for a sparse...
Direction-of-Arrival Estimation of Wideband Signals via Covariance Matrix Sparse Representation This paper focuses on direction-of-arrival (DOA) estimation of wideband signals, and a method named wideband covariance matrix sparse representation (W-CMS......
Specifically, this model downscales DB10K AOD based on a resolved sparse representation matrix of a learned overcomplete AOD dictionary pair (10 km and 3 km), which introduces the spatial information from DT3K AOD and the spatial coverage from DB10K AOD. To validate the fused 3 km AOD ...
A method named covariance matrix sparse representation (CMSR) is developed to detect the number and estimate the directions of multiple, simultaneous sources by decomposing the array output covariance matrix under sparsity constraint. In CMSR the covariance matrix elements are aligned to form a new ...
E. 基于 l1/2-norm 正则化的稀疏重建( l1/2-NORM REGULARIZATION BASED SPARSE REPRESENTATION) 带有lp-norm (0 < p < 1) 正则化的稀疏表示 通常是 一个 nonconvex, nonsmooth, 和 non-Lipschitz 优化问题。但是, 大多数有代表性的有关 lp-norm (0 < p < 1) 正则化 的算法是带有 l1/2-norm 正则...
The first challenge is to define a data structure that combines the time-frequency characteristics of the EEG signal with functional brain connectivity. So far, a wide range of methods have been developed to solve the EEG classification problems in various circumstances. The sparse support matrix ...
Hyperspectral imageAnomaly detectionLow-rank and sparse matrix representationLaplacian matrixAnomaly detection techniques have been widely studied by researchers to ... F Küük - 《Signal Image & Video Processing》 被引量: 0发表: 2023年 Hyperspectral Anomaly Detection via Dual Dictionaries Construction ...
as described in Supplementary Note18. Each APR levellis encoded similar to sparse matrix schemes with Particle Cell locations {ix,iy,iz}. This data structure efficiently stores\({\cal V}\)and\({\cal P}\)by explicitly encoding only one spatial coordinate (iy) per Particle Cell, while allowi...