This example shows how to obtain the wavelet packet transform of a 1-D signal. The example also demonstrates that frequency ordering is different from Paley ordering.

Create a signal consisting of a sine wave with a frequency of 7π/8 radians/sample in additive white Gaussian N(0,1/4) noise. The sine wave occurs between samples 128 and 512 of the signal.

rng default; dwtmode('per'); n = 0:1023; indices = (n>127 & n<=512); x = cos(7*pi/8*n).*indices+0.5*randn(size(n));

Obtain the wavelet packet transform down to level 2 using the Daubechies least asymmetric wavelet with 4 vanishing moments. Plot the wavelet packet tree.

```
T = wpdec(x,2,'sym4');
plot(T);
```

Find the Paley and frequency ordering of the terminal nodes.

[tn_pal,tn_freq] = otnodes(T);

`tn_freq`

contains the vector ```
[3 4
6 5]
```

, which shows that the highest frequency interval, [3π/4,
π), is actually node 5 in the Paley-ordered wavelet packet tree.

Click on node (2,2) in the wavelet packet tree to see that the frequency ordering correctly predicts the presence of the sine wave.

The wavelet packet transform of a 2-D image yields a quarternary wavelet packet tree. Load an example image. Use the biorthogonal B-spline wavelet with 3 vanishing moments in the reconstruction wavelet and 5 vanishing moments in the decomposition wavelet. Plot the resulting quartenary wavelet packet tree.

load tartan; T = wpdec2(X,2,'bior3.5'); plot(T);

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