Algorithmic Computability of the Capacity of Additive Colored Gaussian Noise Channels-Reference-Cited by-同舟云学术

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Algorithmic Computability of the Capacity of Additive Colored Gaussian Noise Channels

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Boche Holger¹,Grigorescu Andrea¹,Schaefer Rafael F.²,Poor H. Vincent³

Affiliation:

1. Technical University of Munich,Chair of Theoretical Information Technology

2. Technische Universität Dresden, BMBF Research Hub 6G-life CETI - Excellence Cluster,Chair of Information Theory and Machine Learning

3. Princeton University,Dept. of Electrical and Computer Engineering

Funder

German Federal Ministry of Education and Research

Technische Universität Dresden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436918.pdf?arnumber=10436918

Cited by 3 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. Characterization of the Complexity of Computing the Minimum Mean Square Error of Causal Prediction;IEEE Transactions on Information Theory;2024-09

2. Characterization of the Complexity of Computing the Capacity of Colored Gaussian Noise Channels;IEEE Transactions on Communications;2024-08

3. Characterization of the Complexity of Computing the Capacity of Colored Noise Gaussian Channels;ICC 2024 - IEEE International Conference on Communications;2024-06-09

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