Scalogram for continuous wavelet transform
This function is no longer recommended. Use cwt instead.
SC = wscalogram(TYPEPLOT,COEFS)
SC = wscalogram(TYPEPLOT,COEFS,'PropName1',PropVal1,...)
SC = wscalogram(TYPEPLOT,COEFS) computes the
scalogram SC which represents the percentage of energy for each
coefficient. COEFS is the matrix of the continuous wavelet
coefficients (see cwt).
The scalogram is obtained by computing:
S = abs(coefs.*coefs); SC = 100*S./sum(S(:))
When TYPEPLOT is equal to 'image', a scaled
image of scalogram is displayed. When TYPEPLOT is equal to
'contour', a contour representation of scalogram is displayed.
Otherwise, the scalogram is returned without plot representation.
SC = wscalogram(TYPEPLOT,COEFS,'PropName1',PropVal1,...)
allows you to modify some properties. The valid choices for PropName
are:
'scales' | Scales used for the CWT. |
'ydata' | Signal used for the CWT. |
'xdata' | x values corresponding to the signal values. |
'power' | Positive real value. Default value is zero. |
If power > 0, coefficients are first normalized
coefs(k,:) = coefs(k,:)/(scales(k)^power)
and then the scalogram is computed as explained above.
% Compute signal s t = linspace(-1,1,512); s = 1-abs(t); % Plot signal s figure; plot(s), axis tight

% Compute coefficients COEFS using cwt
COEFS = cwt(s,1:32,'cgau4');
% Compute and plot the scalogram (image option)
figure;
SC = wscalogram('image',COEFS);

% Compute and plot the scalogram (contour option)
figure;
SC = wscalogram('contour',COEFS);
