Machine Learning-based Noise Classification and Decomposition in RF Transceivers.
Deepika NeethirajanConstantinos XanthopoulosKiruba S. SubramaniKeith SchaubIra LeventhalYiorgos MakrisPublished in: VTS (2019)
Keyphrases
- machine learning
- pattern recognition
- supervised machine learning
- decision trees
- support vector machine
- machine learning methods
- text classification
- feature selection
- machine learning algorithms
- supervised classification
- machine learning approaches
- classification method
- supervised learning
- support vector
- artificial intelligence
- classification algorithm
- information preserving
- image classification
- unsupervised learning
- support vector machine svm
- automatic classification
- classification scheme
- natural language processing
- data mining
- feature extraction
- noise level
- signal to noise ratio
- learning tasks
- feature vectors
- active learning
- knowledge discovery
- feature set
- training samples
- training set
- semi supervised learning
- learning problems
- relevance feedback
- classification models
- model selection
- computer science
- reinforcement learning
- knowledge acquisition
- image processing
- classification systems
- noise model
- rule learning
- computer vision
- classification accuracy