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Foundations of Data Science

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Calculate φ(2x−1), φ(2x−2), and φ(2x−3) by shifting the contents<br />

<strong>of</strong> φ(2x) the appropriate distance, discard the zeros that move <strong>of</strong>f<br />

the right end and add zeros at the left end.<br />

Calculate the new approximation for φ(x) using the above values<br />

for φ(2x − 1), φ(2x − 2), and φ(2x − 3) in the dilation equation for<br />

φ(2x).<br />

end<br />

Figure 11.3: Daubechies scale function and associated wavelet<br />

The convergence <strong>of</strong> the iterative procedure for computing is fast if the eigenvectors <strong>of</strong><br />

a certain matrix are unity.<br />

Another approach to solving the dilation equation<br />

Consider the dilation equation φ(x) = 1f(2x) + f(2x − 1) + 1 f(2x − 2) and consider<br />

2 2<br />

continuous solutions with support in 0 ≤ x < 2.<br />

φ(0) = 1φ(0) + φ(−1) + φ(−2) = 1 φ(0) + 0 + 0 φ(0) = 0<br />

2 2<br />

φ(2) = 1φ(4) + φ(3) + φ(2) = 1 φ(2) + 0 + 0 φ(2) = 0<br />

2 2<br />

φ(1) = 1 φ(2) + φ(1) + φ(0) = 0 + φ(1) + 0 φ(1) arbitrary<br />

2<br />

Set φ(1) = 1. Then<br />

φ( 1 2 ) = 1 2 φ(1) + φ(0) + 1 2 φ(−1) = 1 2<br />

φ( 3 2 ) = 1 2 φ(3) + φ(2) + 1 2 φ(1) = 1 2<br />

Etc.<br />

φ( 1 4 ) = 1 2 φ( 1 2 ) + φ(− 1 2 ) + 1 2 φ(− 3 2 ) = 1 4<br />

360

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