3D Imaging of Sparse Wireless Signal Reconstructions via Machine Learning.
Scott FowlerGabriel BaravdishGeorge BaravdishPublished in: ICC (2020)
Keyphrases
- machine learning
- compressive sensing
- signal recovery
- signal reconstruction
- wireless networks
- image reconstruction
- sparse principal component analysis
- compressive sampling
- signal processing
- signal strength
- compressed sensing
- learning algorithm
- wireless communication
- machine learning methods
- pattern recognition
- sparse representation
- decision trees
- machine learning algorithms
- feature selection
- text mining
- mobile devices
- sparse data
- communication technologies
- knowledge acquisition
- linear transform
- high quality
- artificial intelligence
- reinforcement learning
- data analysis
- mobile users
- high dimensional
- inductive logic programming
- supervised learning
- natural language processing
- data mining
- model selection
- surface reconstruction
- mobile networks
- mobile ad hoc networks
- computer vision
- wireless channels
- high frequency
- radio frequency
- non stationary
- three dimensional
- multi view