Integrating Independent Component Analysis with Hopfield Recurrent Neural Network to Estimate the Channel of MIMO-OFDM System-Reference-Cited by-同舟云学术

Integrating Independent Component Analysis with Hopfield Recurrent Neural Network to Estimate the Channel of MIMO-OFDM System

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Vision, Image and Signal Processing
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Author:

Jie Hao¹

Affiliation:

1. Northwest Minzu University, School of Electrical Engineering, China, Lanzhou University of Technology School of Computer and Communication, Lanzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3271553.3271593

Reference15 articles.

1. Enhanced sparse Bayesian learning-based channel estimation for massive MIMO-OFDM systems

2. H. Bolcskei. 2008. Principles of MIMO-OFDM Wireless Systems Signal Processing for Mobile Communications New York. H. Bolcskei. 2008. Principles of MIMO-OFDM Wireless Systems Signal Processing for Mobile Communications New York.

3. I. Cha. S. A. Kassam. 1995. Channel Equalization Using Adaptive Complex Radial Basis Function Networks. IEEE Journal on Selected Areas in Communications 13(Jun. 1995) 122--131. 10.1109/49.363139 I. Cha. S. A. Kassam. 1995. Channel Equalization Using Adaptive Complex Radial Basis Function Networks. IEEE Journal on Selected Areas in Communications 13(Jun. 1995) 122--131. 10.1109/49.363139

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