Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 340 1 b Solution Created 2026-10-03 Updated 2026-10-06
Let denote the orthogonal complement of inside . The Meyer-Mallat theorem constructs a wavelet whose integer function translations form an orthonormal basis of . Dilation then gives the orthogonal decomposition into orthogonal complements , so its translates and dilates form an orthonormal wavelet basis.
Using the MRA low-pass filter, choose the high-pass symbol . The quadrature mirror filter identity makes the two analysis channels orthonormal. The resulting Fourier transform formula isEquivalently, with the refinement coefficients from the scaling refinement equation, put and . This index choice gives precisely the displayed high-pass symbol. Changing all by one constant unit phase gives the same orthonormal wavelet construction. In particular the often-used convention differs only by a global minus sign. The basis is for .
Past exam of the mathematics course of the University of Cambridge 2018 iii Paper 340 1 c Solution Created 2026-10-03 Updated 2026-10-05
Put , the detail space of the multiresolution analysis. The Meyer-Mallat theorem gives a function whose integer translates form an orthonormal basis of . Dilations then give an orthonormal basis of each , and the density and trivial-intersection axioms implyFor an explicit filter construction, write the scaling refinement equation . With a quadrature mirror filter one may take and . A harmless constant sign or integer translation gives an equivalent orthonormal wavelet.
Past exam of the mathematics course of the University of Cambridge 2025 iii Paper 318 5 a Solution Created 2026-09-24 Updated 2026-09-25
An orthonormal wavelet is such that is an orthonormal basis. A multiresolution analysis is a nested family of closed spaces with trivial intersection, dense union, dyadic scaling, integer-translation invariance of , and a generator whose integer translates form an orthonormal basis of . The Meyer-Mallat theorem says every such analysis has an orthonormal wavelet whose translates span .