On the Coordinate Change to the First-Order Spline Kernel for Regularized Impulse Response Estimation
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2019
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| _version_ | 1866910753606336512 |
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| author | Fujimoto, Yusuke Chen, Tianchi |
| author_facet | Fujimoto, Yusuke Chen, Tianchi |
| contents | The so-called tuned-correlated kernel (sometimes also called the first-order stable spline kernel) is one of the most widely used kernels for the regularized impulse response estimation. This kernel can be derived by applying an exponential decay function as a coordinate change to the first-order spline kernel. This paper focuses on this coordinate change and derives new kernels by investigating other coordinate changes induced by stable and strictly proper transfer functions. It is shown that the corresponding kernels inherit properties from these coordinate changes and the first-order spline kernel. In particular, they have the maximum entropy property and moreover, the inverse of their Gram matrices has sparse structure. In addition, the spectral analysis of some special kernels are provided. Finally, a numerical example is given to show the efficacy of the proposed kernel. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1901_10835 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | On the Coordinate Change to the First-Order Spline Kernel for Regularized Impulse Response Estimation Fujimoto, Yusuke Chen, Tianchi Systems and Control The so-called tuned-correlated kernel (sometimes also called the first-order stable spline kernel) is one of the most widely used kernels for the regularized impulse response estimation. This kernel can be derived by applying an exponential decay function as a coordinate change to the first-order spline kernel. This paper focuses on this coordinate change and derives new kernels by investigating other coordinate changes induced by stable and strictly proper transfer functions. It is shown that the corresponding kernels inherit properties from these coordinate changes and the first-order spline kernel. In particular, they have the maximum entropy property and moreover, the inverse of their Gram matrices has sparse structure. In addition, the spectral analysis of some special kernels are provided. Finally, a numerical example is given to show the efficacy of the proposed kernel. |
| title | On the Coordinate Change to the First-Order Spline Kernel for Regularized Impulse Response Estimation |
| topic | Systems and Control |
| url | https://arxiv.org/abs/1901.10835 |