A Method for Modulation Recognition Based on Entropy Features and Ensemble Algorithm.
Zhen ZhangYibing LiYun LinPublished in: CSPS (2017)
Keyphrases
- recognition algorithm
- high accuracy
- dynamic programming
- extracted features
- detection method
- cost function
- classification method
- detection algorithm
- optimization algorithm
- estimation algorithm
- clustering method
- improved algorithm
- computational complexity
- segmentation algorithm
- k means
- significant improvement
- convergence rate
- similarity measure
- information entropy
- computational cost
- minimum error
- feature set
- preprocessing
- objective function
- support vector machine svm
- method for face recognition
- optimization method
- segmentation method
- matching process
- anti noise
- handwritten digits
- energy function
- tree structure
- learning algorithm
- test images
- feature extraction
- feature extractor
- entropy measure
- matching algorithm
- optimal solution
- knn
- object recognition
- feature space
- feature selection
- ensemble classifier
- support vector machine
- image features
- recognition rate
- feature subset
- input data
- image matching