Low-Latency Parallel Hermitian Positive-Definite Matrix Inversion for Massive MIMO.
Erik BertilssonCarl IngemarssonOscar GustafssonPublished in: SiPS (2021)
Keyphrases
- matrix inversion
- positive definite
- low latency
- kernel matrix
- kernel function
- low rank
- kernel methods
- high speed
- least squares
- metric learning
- real time
- feature space
- model selection
- input space
- covariance matrix
- support vectors
- training samples
- data analysis
- semi parametric
- ls svm
- feature selection
- sufficient conditions
- collaborative filtering
- nearest neighbor