Low-Cost Path Loss Estimation Using Correlation Graph CNN with Novel Feature Parameters.
Keita ImaizumiKoichi IchigeTatsuya NagaoTakahiro HayashiPublished in: VTC2023-Spring (2023)
Keyphrases
- low cost
- maximum likelihood estimation
- parameter estimation
- cellular neural networks
- estimation process
- shortest path problem
- spanning tree
- maximum likelihood
- shortest path
- parametric models
- structured data
- correlation function
- graph theoretic
- graph representation
- real time
- weighted graph
- graph theory
- parameter values
- connected components
- expected loss
- image features
- hidden markov models
- feature vectors
- strongly connected
- minimum cost
- solution path
- maximum a posteriori probability
- point distribution
- update equations
- parameter estimates
- path length
- small world
- random walk
- feature set
- image segmentation
- neural network