Reconstruction of locally frequency sparse nonstationary signals from random samples.
Moeness G. AminBranka JokanovicTraian DogaruPublished in: EUSIPCO (2014)
Keyphrases
- non stationary
- random samples
- signal reconstruction
- random projections
- compressive sensing
- instantaneous frequency
- sparse data
- random sampling
- image reconstruction
- biomedical signals
- frequency modulation
- uniform distribution
- sparse representation
- dimensionality reduction
- blind source separation
- empirical mode decomposition
- sample size
- standard deviation
- original data
- random fields
- signal processing
- autoregressive
- band limited
- dimension reduction
- high dimensional
- fractional brownian motion
- sparse signal representation
- low dimensional
- random sample
- hash functions
- high dimensionality
- amplitude modulation
- principal component analysis
- machine learning
- document clustering
- super resolution
- objective function