Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using Neural Network.
Yoshiki MasuyamaKohei YatabeYuma KoizumiYasuhiro OikawaNoboru HaradaPublished in: IEEE J. Sel. Top. Signal Process. (2021)
Keyphrases
- neural network
- iterative process
- image reconstruction from projections
- iterative methods
- phase unwrapping
- artificial neural networks
- iterative optimization
- back propagation
- preprocessing phase
- sparse reconstruction
- neural network model
- learning phase
- feedback loop
- reconstruction process
- feed forward neural networks
- pattern recognition
- neural network is trained
- network model
- three dimensional
- iterative reconstruction
- fuzzy artmap
- objective function
- signal reconstruction
- image reconstruction
- multi layer
- prediction model
- multilayer perceptron
- fault diagnosis
- newton raphson
- preconditioned conjugate gradient
- auto associative
- back projection
- network architecture
- training algorithm
- neural nets
- recurrent neural networks
- genetic algorithm