Sparse sliding-window RLS adaptive filter with dynamic regularization.
Yuriy V. ZakharovVítor H. NascimentoPublished in: EUSIPCO (2016)
Keyphrases
- sliding window
- adaptive filter
- data streams
- regularized least squares
- adaptive filtering
- fixed size
- window size
- image filtering
- filtering algorithm
- stream data
- step size
- sparse representation
- noise free
- recursive least squares
- data sets
- change detection
- data distribution
- semi supervised learning
- cost function
- multiresolution
- preprocessing
- learning algorithm