Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices.
Himanshu NayarRaj Rao NadakuditiPublished in: ACSSC (2014)
Keyphrases
- higher order
- singular value decomposition
- random noise
- additive noise
- natural images
- wide band
- image structure
- noisy data
- high order
- received signal
- signal detection
- matrix representation
- low signal to noise ratio
- white noise
- markov random field
- noisy environments
- principal component analysis
- stochastic resonance
- impulse response
- noise model
- non stationary
- median filter
- geometric structure
- low frequency
- missing data
- signal to noise ratio
- high frequency