Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion-Reference-Cited by-同舟云学术

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Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion

Published:2024-10 Issue: Volume:681 Page:121217
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xiao Lin^ORCID,Xie Yunrui,Zuo Qiuyue^ORCID,Tan Ping,Liu Ping,He Yongjun

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference36 articles.

1. Approaches of approximating matrix inversion for zero-forcing pre-coding in downlink massive MIMO systems;Shao;Wirel. Netw.,2018

2. Approximate iteration detection and precoding in massive MIMO;Tang;China Commun.,2018

3. Gaussian approximation based interpolation for channel matrix inversion in MIMO-OFDM systems;Zhang;IEEE Trans. Wirel. Commun.,2013

4. FPGA implementation of floating-point complex matrix inversion based on Gauss-Jordan elimination;Moussa,2013

5. Hardware-efficient matrix inversion algorithm for complex adaptive systems;Rosado,2012

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