A Hybrid Iterative Thresholding Method for Solving Sparsity-Regularized Linear Inverse Problems and Its Application in Seismic Sparse-Spike Deconvolution.
Ronghuo DaiCheng YinDa PengPublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- total least squares
- linear inverse problems
- thresholding method
- regularized least squares
- sparse representation
- image restoration
- coefficient matrix
- high dimensional
- gray level
- motion detection
- interior point methods
- signal processing
- relaxation algorithm
- least squares
- negative matrix factorization
- multiscale
- denoising
- reproducing kernel hilbert space
- object tracking
- face recognition
- loss function
- super resolution
- linear programming