Performance guarantees for undersampled recursive sparse recovery in large but structured noise.
Brian LoisNamrata VaswaniChenlu QiuPublished in: GlobalSIP (2013)
Keyphrases
- noisy data
- high dimensional
- noise level
- recovery algorithm
- compressed sensing
- sparse data
- additive noise
- structured data
- theoretical guarantees
- noise reduction
- random noise
- noise removal
- sparse representation
- noisy environments
- recursive algorithm
- noise sensitivity
- gaussian noise
- noise free
- data sets
- noisy images
- missing data
- image classification
- real world