The demodulation signal under the influence of additive and multiplicative non-Gaussian noise.
Vladimir M. ArtyushenkoVladimir I. VolovachM. V. ShakurskyPublished in: EWDTS (2016)
Keyphrases
- random noise
- non stationary
- additive noise
- signal detection
- low signal to noise ratio
- white noise
- noisy environments
- low snr
- received signal
- low frequency
- impulse response
- signal processing
- wide band
- stochastic resonance
- noise reduction
- noise variance
- frequency domain
- biomedical signals
- power spectrum
- noise level
- response function
- noisy data
- additive gaussian noise
- high frequency
- high signal to noise ratio
- direct sequence spread spectrum
- nonlinear filters
- missing data
- signal to noise ratio
- noise free
- compressive sensing
- image noise
- noise model
- wiener filter
- high dimensional data
- weak signal
- noise elimination
- independent component analysis
- short time fourier transform
- slowly varying
- removing noise
- autoregressive
- median filter
- quantization noise