The signal imes signal, noise imes noise, and signal imes noise output of a nonlinearity.
Nelson M. BlachmanPublished in: IEEE Trans. Inf. Theory (1968)
Keyphrases
- random noise
- signal detection
- low signal to noise ratio
- additive noise
- noisy environments
- white noise
- wide band
- low snr
- received signal
- low frequency
- additive gaussian noise
- impulse response
- noise variance
- noise level
- high frequency
- original signal
- direct sequence spread spectrum
- gaussian noise
- signal to noise ratio
- noise elimination
- quantization noise
- biomedical signals
- signal processing
- wiener filter
- power spectrum
- noise model
- noisy data
- low pass filter
- response function
- denoising methods
- power spectra
- missing data
- frequency domain
- noise reduction
- removing noise
- neural network