Low-Complexity Grassmannian Quantization Based on Binary Chirps-Reference-Cited by-同舟云学术

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Low-Complexity Grassmannian Quantization Based on Binary Chirps

Published:2022-04-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Wireless Communications and Networking Conference (WCNC)
language:
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Author:

Pllaha Tefjol¹,Heikkila Elias²,Calderbank Robert³,Tirkkonen Olav²

Affiliation:

1. University of Nebraska,Lincoln,NE,USA

2. Aalto University,Helsinki,Finland

3. Duke University,Durham,NC,USA

Funder

Academy of Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771694.pdf?arnumber=9771694

Reference22 articles.

1. Quantum Error Correction and Orthogonal Geometry

2. A fast reconstruction algorithm for deterministic compressive sensing using second order reed-muller codes

3. Kerdock Codes for Limited Feedback Precoded MIMO Systems

4. Massive access in multi-cell wireless networks using reed-muller codes;yang,2020

Cited by 2 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. Extended Binary Chirps Codebooks for Non-Coherent Communications;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

2. Performance Analysis of Binary Chirp Decoding;2023 IEEE Information Theory Workshop (ITW);2023-04-23

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