Low-Complexity DCD-Based Sparse Recovery Algorithms-Reference-Cited by-同舟云学术

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Low-Complexity DCD-Based Sparse Recovery Algorithms

Published:2017 Issue: Volume:5 Page:12737-12750
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zakharov Yuriy V.^ORCID,Nascimento Vitor H.,De Lamare Rodrigo C.,De Almeida Neto Fernando Goncalves

Funder

FAPESP-York-2015

CNPq

FAPESP

FAPERJ

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7859429/07950926.pdf?arnumber=7950926

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of Time-Varying Channels in Virtual Angular Domain for Massive MIMO Systems;IEEE Access;2023

2. BEM Adaptive filtering for SI cancellation in full-duplex underwater acoustic systems;Signal Processing;2022-02

3. Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals;IEEE Transactions on Signal Processing;2022

4. DCD-Based Joint Sparse Channel Estimation for OFDM in Virtual Angular Domain;IEEE Access;2021

5. DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise;IEEE Transactions on Circuits and Systems II: Express Briefs;2020-07

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