PAIMD: A Novel Data-Driven Decomposition Method for Separating Neural Signal Into Periodic and Aperiodic Components.
Ashkan FarrokhiMohammad Reza DaliriPublished in: IEEE Access (2022)
Keyphrases
- decomposition method
- data driven
- decomposition methods
- tree decomposition
- neural network
- signal processing
- decomposition algorithm
- network architecture
- building blocks
- linear transform
- high frequency
- frequency domain
- non stationary
- neural network model
- bio inspired
- heart rate
- independent components
- radio frequency
- principal component analysis
- original signal
- reinforcement learning