Optimal Machine Learning and Signal Processing Synergies for Low-Resource GNSS Interference Classification.
Johannes Rossouw van der MerweDavid Contreras FrancoTobias FeiglAlexander RügamerPublished in: IEEE Trans. Aerosp. Electron. Syst. (2024)
Keyphrases
- machine learning
- signal processing
- pattern recognition
- machine learning methods
- decision trees
- supervised machine learning
- support vector machine
- machine learning algorithms
- text classification
- feature selection
- classification systems
- classification scheme
- supervised learning
- pattern classification
- supervised classification
- computer vision
- automatic classification
- statistical learning
- active learning
- support vector
- machine learning approaches
- multipath
- data mining
- classification method
- eeg signals
- training samples
- learning algorithm
- information extraction
- optimal solution
- knowledge discovery
- classification accuracy
- data sets
- semi supervised learning
- multiple classifier systems
- image processing
- feature extraction
- brain computer interface
- computer science
- training set
- dynamic programming
- resource management
- fourier transform
- learning tasks
- image classification
- classification algorithm
- cross validation
- benchmark datasets
- model selection