Wavelets with a finite closed form of representation

Transformation of non-stationary signals in data systems for dynamic spectrum analysis is based on the use of wavelets (a set of scaling and wavelet functions forming the basis for different scale subspaces, group of filters and algorithms for organizing this set of components into a system). Creating the ordinary wavelet components involves infinite products and sums, hence they have no closed representation and need fundamental calculations for their implementation, including approximations. We consider the method, procedures and applied constructions for wavelets having a finite closed form of representation.