Noise and Gaussian Clutter Background Descending Dimensional Subspace Signal Detector.
Zhan ZhouGuangfen WeiXu LiuYuan LuoTao JianPublished in: SENSORS (2023)
Keyphrases
- signal subspace
- impulse response
- gaussian noise
- generalized likelihood ratio
- random noise
- target detection
- white noise
- background noise
- matched filter
- additive noise
- signal detection
- poisson distribution
- slowly varying
- low signal to noise ratio
- noisy environments
- gaussian white noise
- signal to noise ratio
- low frequency
- charge coupled device
- pixel intensities
- received signal
- covariance matrices
- hyperspectral
- noise model
- signal processing
- noise reduction
- original signal
- direct sequence spread spectrum
- statistically independent
- noise level
- high frequency
- frequency domain
- maximum likelihood
- principal component analysis
- gaussian density
- linear filters
- dimensionality reduction
- noisy images
- low dimensional
- infrared
- high dimensional data
- median filter
- feature space
- input data
- sensor array
- image restoration
- non stationary
- missing data
- gaussian filter
- noise removal
- gaussian distribution
- foreground objects
- feature extraction