Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations.
Seiichi NakamoriRaquel Caballero-ÁguilaAurora Hermoso-CarazoJ. Jiménez-CarazoJosefa Linares-PérezPublished in: Signal Process. (2007)
Keyphrases
- random noise
- additive noise
- bandpass
- nonlinear filters
- white noise
- low signal to noise ratio
- high pass
- median filter
- prediction accuracy
- salt pepper
- spatial filtering
- filtering method
- received signal
- low snr
- low frequency
- low pass filter
- prediction model
- impulse response
- signal to noise ratio
- signal detection
- removing noise
- wide band
- signal processing
- stochastic resonance
- direct sequence spread spectrum
- frequency domain
- possibilistic networks
- noisy data
- noisy environments
- mixture model
- noise reduction
- filtering process
- noise detection
- linear filters
- prediction error
- single channel
- maximum likelihood
- source separation
- expectation maximization
- noise free
- noise removal
- multiplicative noise
- noisy observations
- image denoising
- original signal
- decision making
- high frequency
- noise model
- statistically independent
- response function
- adaptive filtering
- noise level
- short time fourier transform
- filtering algorithm
- noise variance
- speech signal