An improved EEMD method based on the adjustable cubic trigonometric cardinal spline interpolation.
Di ZhaoZiyan HuangHongyi LiJiaxin ChenPidong WangPublished in: Digit. Signal Process. (2017)
Keyphrases
- spline interpolation
- high accuracy
- segmentation method
- synthetic data
- preprocessing
- significant improvement
- cost function
- high order
- theoretical analysis
- computationally efficient
- least squares
- support vector machine svm
- pairwise
- clustering method
- objective function
- detection method
- high precision
- basis functions
- cubic spline interpolation
- discrete fourier transform
- neural network
- model selection
- higher order
- support vector machine
- classification accuracy
- experimental evaluation
- training set
- computational complexity
- genetic algorithm