Parameter estimation of network signal normal distribution applied to carbonization depth in wireless networks

Parameter estimation of network signal normal distribution applied to carbonization depth in wireless networks

Abstract For the average state of the normal distribution parameter estimation, regular normal distribution parameter gives an estimation, but the carbonation depth of influence factors is more of a parameter estimation, shooting low deficiencies; therefore, putting forward application in the carbon...

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Bibliographic Details
Main Authors: Min Cai, Jun Yang
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Carbonation depth
Gaussian distribution
Maximum likelihood estimation
Wireless networks
Machine learning
Network signal
Online Access:http://link.springer.com/article/10.1186/s13638-020-01694-5

Internet

http://link.springer.com/article/10.1186/s13638-020-01694-5

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