A tutorial on recovery conditions for compressive system identification of sparse channels.
Borhan Molazem SanandajiTyrone L. VincentKameshwar PoollaMichael B. WakinPublished in: CDC (2012)
Keyphrases
- compressive sensing
- image recovery
- random projections
- sufficient conditions
- machine learning
- computer vision
- sparse data
- sparse representation
- multi channel
- input output
- image representation
- sparse coding
- recurrent neural networks
- data sets
- high dimensional
- multiscale
- compressed sensing
- image processing
- sparse matrix