EGAN: A Neural Excitation Generation Model Based on Generative Adversarial Networks with Harmonics and Noise Input.
Yen-Ting LinChen-Yu ChiangPublished in: ICASSP (2023)
Keyphrases
- input data
- data driven
- neural network
- spiking neurons
- recurrent networks
- network analysis
- generative model
- unsupervised learning
- noise level
- image noise
- bio inspired
- network architecture
- noisy data
- network structure
- missing data
- frequency domain
- neural model
- data sets
- generation process
- continuous wavelet transform
- heterogeneous networks
- noise model
- network design
- signal to noise ratio
- complex networks
- multi agent
- reinforcement learning