Streaming Networks: Increase Noise Robustness and Filter Diversity via Hard-wired and Input-induced Sparsity.
Sergey TarasenkoFumihiko TakahashiPublished in: CoRR (2020)
Keyphrases
- noise reduction
- median filter
- input data
- greater robustness
- noise free
- noise detection
- wireless networks
- noise level
- noise removal
- multiplicative noise
- fine details
- signal to noise ratio
- wiener filter
- wired networks
- additive noise
- noise suppression
- salt pepper
- filtering method
- network structure
- real time
- nonlinear filters
- social networks
- gaussian filter
- median filtering
- information transfer
- noise model
- noise elimination
- impulse noise
- wavelet transform
- sparse representation
- smoothing filter
- missing data
- low frequency
- noisy data
- restrictive assumptions
- peer to peer overlay
- filtering process
- impulsive noise
- image noise
- filtering algorithm
- gaussian noise
- streaming data
- end to end
- image enhancement
- data streams
- neural network