Sparse representation in Szegő kernels through reproducing kernel Hilbert space theory with applications
نویسندگان
چکیده
منابع مشابه
Sparse representation in Szegő kernels through reproducing kernel Hilbert space theory with applications
This paper discusses generalization bounds for complex data learning which serve as a theoretical foundation for complex support vector machine (SVM). Drawn on the generalization bounds, a complex SVM approach based on the Szegő kernel of the Hardy space H(D) is formulated. It is applied to the frequency-domain identification problem of discrete linear time-invariant system (LTIS). Experiments ...
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ژورنال
عنوان ژورنال: International Journal of Wavelets, Multiresolution and Information Processing
سال: 2015
ISSN: 0219-6913,1793-690X
DOI: 10.1142/s0219691315500307