Weak Signal Detection based on Beta Divergence-Reference-Cited by-同舟云学术

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Weak Signal Detection based on Beta Divergence

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Author:

Liu Jiahao¹,Liu Haoxuan¹,Pu Wenqiang²,Zhou Rui²,You Ming-Yi¹,Shi Qingjiang³

Affiliation:

1. Science and Technology on Communication Information Security Control Laboratory,Jiaxing,China

2. The Chinese University of Hong Kong,Shenzhen Research Institute of Big Data,Shenzhen,China

3. Tongji University,School of Software Engineering,Shanghai,China

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10304363/10304364/10304532.pdf?arnumber=10304532

Reference13 articles.

1. Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses

2. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis

3. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

4. Spectrum Sensing for Cognitive Radio

5. Cyclostationary feature based spectrum sensing via low-rank and sparse decomposition in cognitive radio networks

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