Adaptive filter
OwnerKonrad Michael Weiglinventor
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OwnerKonrad Michael Weiglinventor
Estimating the term…
An adaptive filter for the approximation of a read-in set function F in a function space, containing a set of elementary filters g.sub.b, n being an integer .gtoreq.1. The elementary filters cover a sub-space in the function space, the parameters of the elementary filter are changable and the filter performs the following operation: calculating the normal projections of the set function F on each elementary filter and multiplying the normal projection quantities A.sub.a thus obtained by the contra-variant metric tensor G.sup.ab formed from the set of the elementary filters in order thereby to obtain the projection of the set function F on the sub-space covered, whose difference D from the set function F is determined as a function of the elementary filter and the metric tensor in accordance with the formula (I) in order thereby to minimise the difference D by changing the elementary filter parameters by means of conventional deterministic (e.g. "gradient fall method") or stochastic (e.g. simulated annealing, "Monte-Carlo method") methods of calculation, the desired approximated function being obtained from the superimposition of the elementary filters set by minimization in accordance with the formula (II).
An adaptive filter whose output characteristics correspond to the sum of the characteristics of a plurality of elementary filters comprising:
Dependencies are inferred from the claim text.