scholarly journals Low-Complexity Detection of High-Order QAM Faster-Than-Nyquist Signaling

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 14579-14588 ◽  
Author(s):  
Ebrahim Bedeer ◽  
Mohamed Hossam Ahmed ◽  
Halim Yanikomeroglu
Keyword(s):  
Low Complexity ◽  
High Order

scholarly journals Low-Complexity High-Order Propagator Method for Near-Field Source Localization

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 54
Author(s):  
Jianzhong Li ◽  
Yide Wang ◽  
Cédric Le Bastard ◽  
Zongze Wu ◽  
Shaoyang Men
Keyword(s):  
Hermitian Matrix ◽  
Near Field ◽  
Low Complexity ◽  
High Order ◽  
Field Source ◽  
Propagator Method ◽  
Lower Complexity ◽  
Simulation Results ◽  
Two Parameters ◽  
High Order Statistics

In this paper, an efficient high-order propagator method is proposed to localize near-field sources. We construct a specific non-Hermitian matrix based on the high-order cumulant of the received signals. With its columns and rows, we can obtain two subspaces orthogonal to all the columns of two steering matrices, respectively, with which the estimation of the directions of arrival (DOA) and ranges of near-field sources can be achieved. Different from other methods, the proposed method needs only one matrix for estimating two parameters separately, therefore leading to a smaller computational burden. Simulation results show that the proposed method achieves the same performance as the other high order statistics-based methods with a lower complexity.

Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation

2017 ◽  
Vol 26 (5) ◽  
pp. 2296-2310 ◽  
Author(s):  
Vitor A. de A. Coutinho ◽  
Renato J. Cintra ◽  
Fabio M. Bayer
Keyword(s):  
Low Complexity ◽  
High Order ◽  
Order Tensor ◽  
Tensor Data
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