Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction.
Jafar NorolahiPaeiz AzmiPublished in: CoRR (2021)
Keyphrases
- feature extraction
- machine learning
- pattern recognition
- feature selection
- support vector machine svm
- machine learning methods
- image classification
- frequency domain
- pattern classification
- machine learning algorithms
- decision trees
- dimension reduction
- supervised classification
- support vector machine
- classification accuracy
- text classification
- feature space
- supervised machine learning
- supervised learning
- feature set
- extracted features
- feature representation
- signal analysis
- semi supervised learning
- learning algorithm
- face recognition
- wavelet transform
- support vector
- preprocessing
- data mining
- machine learning approaches
- feature vectors
- discriminant analysis
- classification method
- classification algorithm
- signal processing
- signal detection
- image processing
- feature extraction and classification
- computer vision
- dimensionality reduction
- modulation scheme
- received signal
- pattern representation
- extracting features
- linear discriminant analysis
- natural language processing
- high frequency
- signal to noise ratio
- active learning