Reconstruction and classification of wireless signals based on compressive sensing approach.
Andjela DraganicIrena OrovicSrdjan StankovicXiumei LiZhi WangPublished in: MECO (2016)
Keyphrases
- compressive sensing
- signal reconstruction
- signal processing
- random projections
- image recovery
- pattern recognition
- sparse representation
- compressive sampling
- wireless communication
- sparse reconstruction
- image representation
- feature extraction
- dictionary learning
- model selection
- text classification
- support vector
- decision trees
- compressed sensing
- distributed source coding
- support vector machine svm
- high dimensionality
- support vector machine
- feature vectors
- feature selection
- spatial domain
- machine learning
- unsupervised learning
- active learning