A Novel High-Accuracy Low-Execution Time Machine Learning- Driven Approach to Automatic Modulation Classification.
Pejman GhasemzadehMichael HempelHamid SharifPublished in: CCNC (2021)
Keyphrases
- machine learning
- high accuracy
- machine learning methods
- pattern recognition
- decision trees
- supervised machine learning
- support vector machine
- text classification
- machine learning approaches
- machine learning algorithms
- classification accuracy
- feature selection
- supervised learning
- inductive learning
- classification algorithm
- data driven
- supervised classification
- pattern classification
- model selection
- automatic classification
- preprocessing
- support vector machine svm
- semi automatic
- feature vectors
- image classification
- fully automatic
- learning tasks
- computational intelligence
- semi supervised
- classification scheme
- reinforcement learning
- statistical classification
- false positives
- feature extraction
- false negative
- classification systems
- support vector
- learning problems
- unsupervised learning
- benchmark datasets