Optimal Design of Notch Filter with Principal Basic Vectors in Subspace.
Jinguang HaoGang WangLili WangHonggang WangPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2018)
Keyphrases
- optimal design
- lower dimensional
- covariance matrices
- principal components
- basis vectors
- low dimensional
- subspace clustering
- filtering algorithm
- vector space
- water supply
- high dimensional
- principal component analysis
- input data
- noise reduction
- neural network
- hilbert space
- high dimensional data
- feature vectors
- feature extraction
- dimensionality reduction
- management system
- subspace learning
- constraint handling
- dot product
- structural design
- image restoration
- median filter
- feature space
- data analysis
- data sets