Seismic Random Noise Attenuation Using Sparse Low-Rank Estimation of the Signal in the Time-Frequency Domain.
Rasoul AnvariAmin Roshandel KahooMokhtar MohammadiNabeel Ali KhanYangkang ChenPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- random noise
- low rank
- regularized regression
- low rank matrix
- rank minimization
- low rank matrices
- signal processing
- low rank subspace
- nuclear norm
- linear combination
- low rank representation
- robust principal component analysis
- matrix factorization
- low signal to noise ratio
- convex optimization
- singular value decomposition
- matrix completion
- matrix decomposition
- missing data
- high order
- low rank approximation
- kernel matrix
- kernel matrices
- semi supervised
- high dimensional data
- tensor decomposition
- compressive sensing
- singular values
- data matrix
- affinity matrix
- sparse matrix
- frequency domain
- elastic net
- pattern recognition
- sparse coding
- wavelet transform
- high dimensional