Recovering K-sparse N-length vectors in O(K log N) time: Compressed sensing using sparse-graph codes.
Xiao LiKannan RamchandranPublished in: ICASSP (2016)
Keyphrases
- compressed sensing
- image reconstruction
- sparse representation
- random projections
- signal recovery
- natural images
- sparse coding
- fourier domain
- compressive sampling
- high quality
- high dimensional
- compressive sensing
- orthogonal matching pursuit
- data sets
- frequency domain
- worst case
- image features
- object recognition
- machine learning