Probability density function based data augmentation for deep neural network automatic modulation classification with limited training data.
Chongzheng HaoXiaoyu DangXiangbin YuSai LiChenghua WangPublished in: IET Commun. (2023)
Keyphrases
- training data
- neural network
- data sets
- probability density function
- statistical analysis
- machine learning
- pattern recognition
- decision trees
- input data
- supervised learning
- data mining
- probability distribution
- classification accuracy
- prior knowledge
- density estimation
- computer vision
- pattern classification
- knowledge discovery
- probability density
- statistical methods
- em algorithm
- labeled data
- density function
- training process
- high dimensional data
- parzen window
- generative model
- text classification
- data mining techniques
- support vector machine
- data sources
- pairwise
- training set
- data analysis
- database systems
- information retrieval