Abstract
We propose a novel multikernel adaptive filtering algorithm based on the iterative projections in the sum space of reproducing kernel Hilbert spaces. We employ linear and Gaussian kernels, envisioning an application to partially-linear-system identification/estimation. The algorithm is derived by reformulating the hyperplane projection along affine subspace (HYPASS) algorithm in the sum space. The projection is computable by virtue of Minh's theorem proved in 2010 as long as the input space has nonempty interior. Numerical examples show the efficacy of the proposed algorithm.
Original language | English |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3362-3366 |
Number of pages | 5 |
Volume | 2015-August |
ISBN (Print) | 9781467369978 |
DOIs | |
Publication status | Published - 2015 Aug 4 |
Event | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 2014 Apr 19 → 2014 Apr 24 |
Other
Other | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 |
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Country | Australia |
City | Brisbane |
Period | 14/4/19 → 14/4/24 |
Keywords
- multikernel adaptive filtering
- orthogonal projection
- reproducing kernel Hilbert space
- sum space
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering