Impacts of the transmitter signal key parameters on the Compressed Sensing spectrum reconstruction for IoT Cognitive Radio applications.
Lap-Luat NguyenAnthony FicheRoland GautierEmanuel RadoiPublished in: APCC (2019)
Keyphrases
- compressed sensing
- cognitive radio
- compressive sampling
- communication systems
- cognitive radio networks
- spectrum sensing
- signal processing
- image reconstruction
- multiple input multiple output
- signal recovery
- wireless communication
- random projections
- sparse representation
- compressive sensing
- natural images
- wireless networks
- cellular networks
- orthogonal frequency division multiplexing
- frequency domain
- orthogonal matching pursuit
- image processing
- user centric
- multiscale
- computer systems
- face recognition
- feature extraction
- fourier domain
- data sets
- dimensionality reduction