Discrete uncertainty principles and sparse signal processing.
Afonso S. BandeiraMegan E. LewisDustin G. MixonPublished in: CoRR (2015)
Keyphrases
- signal processing
- compressive sensing
- sparse representation
- compressed sensing
- fourier transform
- image processing
- pattern recognition
- independent component analysis
- sparse data
- signal analysis
- finite number
- inherent uncertainty
- uncertain data
- filter bank
- high dimensional
- missing data
- incomplete information
- computer vision
- frequency domain
- sparse coding
- probabilistic model
- multiresolution
- dictionary learning
- objective function
- case study
- sparse matrix
- discrete geometry
- machine learning