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Publikováno v:
IEEE Access, Vol 9, Pp 5150-5165 (2021)
There are a few dependent multivariate relationships among high dimensional data sets. Then how to identify these dependent variables from high dimensional data sets is an important issue for data analysis. Now, the most frequently used method is the
Publikováno v:
IEEE Access, Vol 8, Pp 76043-76055 (2020)
Discriminative subspace clustering (DSC) combines Linear Discriminant Analysis (LDA) with clustering algorithm, such as K-means (KM), to form a single framework to perform dimension reduction and clustering simultaneously. It has been verified to be
Autor:
Shiyuan Zhao, Glenn Healey
Publikováno v:
IEEE Access, Vol 8, Pp 172196-172203 (2020)
We present a method for learning a function over distributions. The method is based on generalizing nonparametric kernel regression by using the earth mover’s distance as a metric for distribution space. The technique is applied to the problem of l
Publikováno v:
IEEE Access, Vol 8, Pp 217437-217446 (2020)
Two-dimensional quaternion principal component analysis (2D-QPCA) is one of the successful dimensionality reduction methods for color face recognition. However, 2D-QPCA is sensitive to outliers. For solving this shortcoming, an efficient robust metho
Autor:
Seema Sud
Publikováno v:
SoutheastCon 2021.
Singular Spectral Analysis (SSA) is a powerful technique for separating arbitrary co-channel signals in a single channel receiver. The technique is based on a subspace projection using eigenvector decomposition (EVD). While choosing the number of eig
Publikováno v:
IEEE Access, Vol 7, Pp 30135-30141 (2019)
This paper addresses the asymptotic behavior of a particular type of information-plus-noise-type matrices, where the column and row numbers of the matrices are large and of the same order, while signals have diverged and the time delays of the channe
Publikováno v:
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
IEEE Open Journal of the Communications Society, Vol 2, Pp 534-544 (2021)
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
IEEE Open Journal of the Communications Society, Vol 2, Pp 534-544 (2021)
Unmanned-aerial-vehicles (UAVs) are intended to be a vital part of beyond 5G (B5G) and 6G communication networks. UAV-to-ground communications in urban and populated areas are usually exposed to highly variable propagation conditions that can be ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb0a42343c2702a9e538a9cd00b7470
http://hdl.handle.net/10016/32203
http://hdl.handle.net/10016/32203
Publikováno v:
2020 15th IEEE International Conference on Signal Processing (ICSP).
Although the compressed sensing model has a good effect on signal recovery, it is quite difficult to design reconstruction algorithms for compressive sensing. The challenge is that the sampling rate is low, the sparsity is high, which makes it diffic
Autor:
Chintha Tellambura, Danyang Wang
Publikováno v:
VTC-Fall
In this paper, we investigate the performance of a wireless-powered energy beamforming system with a multiple-antenna access point (AP) and a single-antenna user (SU). The SU first harvests radio frequency (RF) energy from the AP in the downlink (DL)
Autor:
Jitendra K. Tugnait
Publikováno v:
ACSSC
We consider the problem of inferring the conditional independence graph (CIG) of a high-dimensional stationary multivariate Gaussian time series. A p-variate Gaussian time series graphical model associated with an undirected graph with p vertices is