Wavelet Toolbox™

Split (decompose) wavelet packet

Syntax

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

Description

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

wpsplt updates the wavelet packet tree after the decomposition of a node.

T = wpsplt(T,N) returns the modified wavelet packet tree T corresponding to the decomposition of the node N.

For a one-dimensional decomposition,

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

For a two-dimensional decomposition,

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

Examples

• % The current extension mode is zero-padding (see dwtmode).
  
  % Load signal. 
  load noisdopp; 
  x = noisdopp;
  
  % Decompose x at depth 3 with db1 wavelet packets. 
  wpt = wpdec(x,3,'db1');
  
  % Plot wavelet packet tree wpt. 
  plot(wpt)
  
  
  % Decompose packet (3,0).
  wpt = wpsplt(wpt,[3 0]); 
  % or equivalently wpsplt(wpt,7).
  
  % Plot wavelet packet tree wpt. 
  plot(wpt)
  
  
  

See Also
wavedec, wavedec2, wpdec, wpdec2, wpjoin

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