Subspace based multi-dimensional model order selection in colored noise scenarios.
João Paulo Carvalho Lustosa da CostaFlorian RoemerDominik SchulzRafael Timóteo de Sousa JúniorPublished in: ITW (2011)
Keyphrases
- multi dimensional
- model order selection
- parameter tuning
- high dimensional
- low dimensional
- signal subspace
- noise level
- random noise
- multiple dimensions
- real world
- signal to noise ratio
- noisy data
- median filter
- input data
- range queries
- principal component analysis
- multi dimensional data
- principal components
- low signal to noise ratio
- noisy environments
- image noise
- noise model
- lower dimensional
- gaussian noise
- missing data
- least squares
- evolutionary algorithm
- artificial neural networks
- feature space
- multiscale