| Wavelet Toolbox™ | |
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Syntax
T = wptree(ORDER,DEPTH,X,WNAME,ENT_TYPE,ENT_PAR) T = wptree(ORDER,DEPTH,X,WNAME) T = wptree( ... ,USERDATA)
Description
T = wptree(ORDER,DEPTH,X,WNAME,ENT_TYPE,PARAMETER) returns a complete wavelet packet tree T.
ORDER is an integer representing the order of the tree (the number of "children" of each non terminal node). ORDER must be equal to 2 or 4.
If ORDER = 2, T is a WPTREE object corresponding to a wavelet packet decomposition of the vector (signal) X, at level DEPTH with a particular wavelet WNAME.
If ORDER = 4, T is a WPTREE object corresponding to a wavelet packet decomposition of the matrix (image) X, at level DEPTH with a particular wavelet WNAME.
ENT_TYPE is a string containing the entropy type and ENT_PAR is an optional parameter used for entropy computation ( see wentropy, wpdec, or wpdec2 for more information).
T = wptree(ORDER,DEPTH,X,WNAME) is equivalent to T = wptree(ORDER,DEPTH,X,WNAME,'shannon')
With T = wptree(ORDER,DEPTH,X,WNAME,ENT_TYPE,ENT_PAR,USERDATA) you may set a userdata field.
The function wptree returns a WPTREE object.
For more information on object fields, see the get function or type
Class WPTREE (Parent class: DTREE)
Fields
'dtree' |
DTREE parent object |
'wavInfo' |
Structure (wavelet information) |
'entInfo' |
Structure (entropy information) |
The wavelet information structure, 'wavInfo', contains
'wavName' |
Wavelet name |
'Lo_D' |
Low Decomposition filter |
'Hi_D' |
High Decomposition filter |
'Lo_R' |
Low Reconstruction filter |
'Hi_R' |
High Reconstruction filter |
The entropy information structure, 'entInfo', contains
'entName' |
Entropy name |
'entPar' |
Entropy parameter |
Fields from the DTREE parent object:
'allNI' |
All nodes information |
'allNI' is an array of size nbnode by 5, which contains
ind |
Index |
size |
Size of data |
ent |
Entropy |
ento |
Optimal entropy |
Each line is built based on the following scheme:
Examples
% Create a wavelet packet tree.
x = rand(1,512);
t = wptree(2,3,x,'db3');
t = wpjoin(t,[4;5]);
% Plot tree t4.
plot(t);
% Click the node (3,0), (see the plot function).
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