Coherence-based performance guarantees for estimating a sparse vector under random noise.
Zvika Ben-HaimYonina C. EldarMichael EladPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- random noise
- sparse matrix
- low signal to noise ratio
- theoretical guarantees
- compressive sensing
- sparse data
- signal recovery
- multiscale
- rigid body
- convex optimization
- compressed sensing
- genetic algorithm
- vector space
- feature vectors
- artificial neural networks
- support vector
- similarity measure
- face recognition
- decision trees