Convolutional Neural Networks for noise signal Recognition.
Ruslan J. PortsevAndrey V. MakarenkoPublished in: MLSP (2018)
Keyphrases
- convolutional neural networks
- convolutional network
- random noise
- noisy environments
- signal detection
- low signal to noise ratio
- additive noise
- low frequency
- white noise
- low snr
- frequency domain
- wide band
- signal processing
- high frequency
- recognition accuracy
- noisy data
- received signal
- noise reduction
- original signal
- noise level
- missing data
- impulse response
- noise model
- pattern recognition
- object recognition
- gaussian noise
- recognition algorithm
- non stationary
- wiener filter
- biomedical signals
- stochastic resonance
- noise variance
- noise removal
- feature extraction
- image denoising
- multiplicative noise
- dynamic programming
- hidden markov models
- signal noise ratio
- denoising methods