Robust and efficient recovery of a signal passed through a filter and then contaminated by non-Gaussian noise.
Sam EfromovichPublished in: IEEE Trans. Inf. Theory (1997)
Keyphrases
- noisy environments
- image noise
- noisy data
- noise reduction
- noise variance
- impulse response
- gaussian noise
- salt pepper
- random noise
- median filter
- non stationary
- signal to noise ratio
- white noise
- noise removal
- low pass filter
- computationally efficient
- frequency response
- wiener filter
- adaptive filter
- signal detection
- low signal to noise ratio
- original signal
- noise level
- noise cancellation
- additive noise
- low frequency
- gaussian white noise
- spatial filtering
- received signal
- signal dependent
- removing noise
- nonlinear filters
- power spectrum
- impulse noise
- signal processing
- matched filter
- noise detection
- bandpass
- noise free
- denoising methods
- missing data
- frequency domain
- noise shaping
- image processing