Abstract
Nonlinear regression and nonlinear regularization are two powerful approaches to segmentation and nonlinear filtering. In this correspondence, we propose a hybrid approach that effectively combines the best of both worlds and can be efficiently implemented via the Viterbi algorithm.
Original language | English (US) |
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Pages (from-to) | 3096-3104 |
Number of pages | 9 |
Journal | IEEE Transactions on Signal Processing |
Volume | 45 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1997 |