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In signal processing, a kernel adaptive filter is a type of nonlinear adaptive filter. An adaptive filter is a filter that adapts its transfer function to changes in signal properties over time by minimizing an error or loss function that characterizes how far the filter deviates from ideal behavior. The adaptation process is based on learning from a…
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adaptive filters linear kernel filter nonlinear data function methods feature space signal used model structure processing transfer using kernels statistical
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kernel adaptive filter | is a | type of nonlinear adaptive filter | 0.90 | text |
| prescribed by Vapink's SRM | instance of | Though some specific forms of parameter regularisation | 0.80 | text |
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