A data-driven multidimensional signal-noise decomposition approach for GPR data processing.
Chih-Sung ChenYih JengPublished in: Comput. Geosci. (2015)
Keyphrases
- data driven
- data processing
- random noise
- low signal to noise ratio
- signal detection
- additive noise
- multidimensional signals
- white noise
- low frequency
- low snr
- noise variance
- signal processing
- high frequency
- noisy environments
- received signal
- wide band
- stochastic resonance
- impulse response
- direct sequence spread spectrum
- noise level
- multi dimensional
- wavelet packet
- power spectrum
- noise elimination
- data analysis
- noise reduction
- signal to noise ratio
- response function
- power spectra
- additive gaussian noise
- weak signal
- decomposition method
- nonlinear filters
- multiplicative noise
- denoising methods
- database
- multidimensional data
- noisy images
- noisy data
- signal subspace
- image denoising
- data acquisition
- ground penetrating radar
- missing data
- frequency domain
- data management
- multiscale