wpsplt (Wavelet Toolbox)

Split (decompose) wavelet packet.

[T,D] = wpsplt(T,D,N)
[T,D,cA,cD] = wpsplt(T,D,N)
[T,D,cA,cH,cV,cD] = wpsplt(T,D,N)

Description

wpsplt is a one- or two-dimensional wavelet packet analysis function.

wpsplt updates the tree and data structures after the decomposition of a node.

[T,D] = wpsplt(T,D,N) returns the modified tree structure T and the modified data structure D, corresponding to the decomposition of the node N.

For a one-dimensional decomposition:

[T,D,cA,cD] = wpsplt(T,D,N) with cA = approximation and cD = detail of node N.

For a two-dimensional decomposition:

[T,D,cA,cH,cV,cD] = wpsplt(T,D,N) with cA = approximation and
cH,cV,cD = details of node N.

Examples

% Load signal. 
    load noisdopp; 
    x = noisdopp;

% Decompose x at depth 3 with db1 wavelet packets. 
    [wpt,wpd] = wpdec(x,3,'db1');

% Plot wavelet packet tree structure wpt. 
    plottree(wpt)




% Decompose packet (3,0).
    [wpt,wpd] = wpsplt(wpt,wpd,[3 0]); 
    % or equivalently wpsplt(wpt,wpd,7).

% Plot wavelet packet tree structure wpt. 
    plottree(wpt)