Retrieving Sparse Patterns Using a Compressed Sensing Framework: Applications to Speech Coding Based on Sparse Linear Prediction.
Daniele GiacobelloMads Græsbøll ChristensenManohar N. MurthiSøren Holdt JensenMarc MoonenPublished in: IEEE Signal Process. Lett. (2010)
Keyphrases
- compressed sensing
- linear prediction
- sparse representation
- image reconstruction
- signal recovery
- random projections
- speech signal
- image coding
- natural images
- prediction error
- compressive sampling
- subband
- orthogonal matching pursuit
- high dimensional
- probabilistic model
- lossless compression
- compressive sensing
- neural network
- autoregressive
- pattern recognition
- multiscale
- face recognition