An orthonormal multiresolution analysis consists of closed subspaces of a Hilbert space of the Hilbert space such that
There is a scaling function whose integer function translations form an orthonormal basis of . Consequently form an orthonormal basis of ; in particular is invariant under integer function translations.
Let be the orthogonal complement of in . Nesting, density and the trivial intersection imply the orthogonal direct sum
For example, telescoping and letting , gives this decomposition; the corresponding orthogonal projections converge strongly to zero and the identity by the intersection and density properties.
To construct the orthonormal wavelet, use to write the scaling refinement equation , with and . Put . The orthonormal translates and Fourier periodization criterion proved in part (b), applied to the scaling refinement equation, yields
This is the quadrature mirror filter identity. Define
The Fourier series of is , and . The two rows and form a unitary matrix almost everywhere: both have squared norm one and their inner product is zero. This wavelet completion of a multiresolution filter proves not just orthogonality but completeness. Splitting a finer-scale coefficient Fourier series into its values at and , this invertible two-channel matrix resolves it into a coarse-scale channel and its complementary channel. Thus the integer function translations of form an orthonormal basis of .
The dilated functions therefore form an orthonormal basis of each . The orthogonal direct sum proves the conclusion: every orthonormal multiresolution analysis produces an orthonormal wavelet basis of .

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