Dimensionality Reduction of Room Acoustic Impulse Responses and Applications to System Identification.
Gongping HuangJacob BenestyJingdong ChenPublished in: IEEE Signal Process. Lett. (2023)
Keyphrases
- dimensionality reduction
- input output
- high dimensional data
- principal component analysis
- high dimensional
- principal components
- low dimensional
- pattern recognition and machine learning
- feature extraction
- data representation
- data points
- dimensionality reduction methods
- feature selection
- feature space
- pattern recognition
- high dimensionality
- structure preserving
- acoustic features
- linear discriminant analysis
- source localization
- manifold learning
- input space
- preprocessing step
- underwater acoustic
- nonlinear dimensionality reduction
- linear dimensionality reduction
- neural network
- lower dimensional
- random projections
- recurrent neural networks
- dimension reduction
- principal components analysis
- graph embedding
- pairwise
- machine learning
- bird species
- linear projection
- data sets
- supervised dimensionality reduction
- stereo imaging