Unsupervised learning for signal versus noise.
A. F. M. SmithUdi E. MakovPublished in: IEEE Trans. Inf. Theory (1981)
Keyphrases
- unsupervised learning
- random noise
- signal detection
- additive noise
- white noise
- low snr
- low signal to noise ratio
- received signal
- high frequency
- noisy environments
- low frequency
- wide band
- stochastic resonance
- supervised learning
- noise reduction
- original signal
- additive gaussian noise
- quantization noise
- power spectrum
- nonlinear filters
- frequency domain
- impulse response
- signal processing
- multiplicative noise
- noise elimination
- single channel
- weak signal
- semi supervised
- response function
- noise model
- gaussian noise
- signal to noise ratio
- denoising methods
- model selection
- signal subspace
- power spectra
- maximum likelihood
- dimensionality reduction
- data sets
- direct sequence spread spectrum