On the noise power estimation in the presence of the signal for energy-based sensing.
Samson SequeiraRajas R. MahajanPredrag SpasojevicPublished in: Sarnoff Symposium (2012)
Keyphrases
- signal subspace
- random noise
- low signal to noise ratio
- additive noise
- white noise
- wide band
- signal detection
- estimation error
- received signal
- power consumption
- low snr
- estimation algorithm
- noisy environments
- direct sequence spread spectrum
- power spectrum
- additive gaussian noise
- stochastic resonance
- power spectra
- duty cycle
- signal processing
- original signal
- signal to noise ratio
- noise variance
- low frequency
- image noise
- frequency domain
- high frequency
- noise reduction
- noise level
- noise elimination
- wiener filter
- sensor networks
- real time
- quantization noise
- denoising methods
- missing data
- multiscale
- noise model
- short time fourier transform
- noise removal
- slowly varying
- non stationary
- pixel intensities
- median filter
- nonlinear filters
- single channel
- high pass