An adaptive invariant transform using neural network techniques
Sabine Kröner, Reinhard Moratz, Hans Burkhardt · 1994
Translation invariant pattern recognition for 1D signals and 2D images can be performed using the nonlinear fast transforms of the class C T . Unfortunately different backgrounds, noise or distortions of the object may strongly effect the result of the transform. However robustness and adaptivity against the mentioned distortions are desired. These properties are typical for neural nets which suggests to combine them with the class CT .