RZA-NLMF algorithm-based adaptive sparse sensing for realizing compressive sensing.
Guan GuiLi XuFumiyuki AdachiPublished in: EURASIP J. Adv. Signal Process. (2014)
Keyphrases
- compressive sensing
- image recovery
- sparse representation
- signal reconstruction
- learning algorithm
- computational complexity
- preprocessing
- k means
- worst case
- similarity measure
- sparse reconstruction
- orthogonal matching pursuit
- structured sparsity
- random projections
- clustering method
- support vector machine svm
- image classification