An orthonormal multiresolution analysis consists of closed subspaces , , with , , , and the dilation equivalence . A scaling function has integer translates forming an orthonormal basis of . Hence
is an orthonormal basis of . Set , the orthogonal complement of inside . A function whose integer translates form an orthonormal basis of produces a complete orthonormal wavelet system : different are orthogonal, their sum contains every difference , and density together with the zero intersection exhausts .
Here is the filter construction that guarantees such a wavelet. Nesting puts in , so expansion in its orthonormal basis gives the scaling refinement equation , with . Define the MRA low-pass filter and its complementary quadrature mirror filter by
Splitting the orthonormal translates and Fourier periodization identity at , as in part (b), gives almost everywhere. Consequently the rows of
have length one and are orthogonal; the matrix is unitary. Put and , so .
To see completeness as well as orthogonality, identify with its fine-scale coefficient sequences and take their Fourier series. Group the frequencies and over a half-period. The two rows of the displayed matrix are the normalized coarse and complementary channels; their unitarity is exactly an onto isometry from these two channels to the fine-scale coefficient space. Translates of and correspond to the Fourier basis in the respective channels. They therefore jointly form an orthonormal basis of . The orthogonal complement channel gives the wavelet completion of a multiresolution filter, namely the integer translates of span . This proves the asserted relation with an orthonormal wavelet.

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