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Continuous-Time DC Kernel-A Stable Generalized First-Order Spline Kernel
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DOI：10.1109/TAC.2018.2825365.png)
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Abstract
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The stable spline (SS) kernel and the diagonal correlated (DC) kernel are two kernels that have been applied and studied extensively for kernel-based regularized LTI system identification. In this note, we show that similar to the derivation of the SS kernel, the continuous-time DC kernel can be derived by applying the same stable coordinate change to a generalized first-order spline kernel, and thus, can be interpreted as a stable generalized first-order spline kernel. This interpretation provides new facets to understand the properties of the DC kernel. In particular, we derive a new orthonormal basis expansion of the DC kernel and the explicit expression of the norm of the reproducing kernel Hilbert space associated with the DC kernel. Moreover, for the nonuniformly sampled DC kernel, we derive its maximum entropy property and show that its kernel matrix has tridiagonal inverse.
Keywords:
Kernal
MaxEnt
orthonormal basis expansion
regularization methods
system identification
tridiagonal inverse
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