Using invariance to extract signal from noise.
Debarshi Patanjali GhoshalKumar GopalakrishnanHannah MichalskaPublished in: ACC (2017)
Keyphrases
- random noise
- additive noise
- signal detection
- low signal to noise ratio
- removing noise
- wide band
- white noise
- low frequency
- noise variance
- received signal
- high frequency
- direct sequence spread spectrum
- impulse response
- stochastic resonance
- low snr
- frequency domain
- noisy environments
- signal processing
- additive gaussian noise
- wiener filter
- image noise
- noise removal
- multiplicative noise
- signal to noise ratio
- noise reduction
- slowly varying
- biomedical signals
- signal dependent
- power spectra
- response function
- high pass
- power spectrum
- noisy data
- noise level
- quantization noise
- noise elimination
- low pass filter
- nonlinear filters
- denoising
- radio frequency
- spatial domain
- transformed image
- original signal
- image structure
- median filter
- low pass
- pixel intensities