Continuous Dynamic Time Warping

A version of the DTW algorithm. The CDTW calculates the similarity between 2 vectors

Description

If you pass in 2 vectors it returns the unnormalized distance between the vectors, the accumulated distance between them, the length of the warping path (the normalizing factor), the warping path points and both warped input vectors.
You can plot the results too if select the pflag=1

Acknowledgements

The author wishes to acknowledge the following in the creation of this submission:
Dynamic Time Warping

• MATLAB release: MATLAB 7 (R14)

[Darryl Wallace]

It looks good. And the portion from the original dtw.m file by Timothy Felty works. But it stops for me at when calling the function 'div'. I'm not entirely certain what this will do so I have been reluctant to change it. But if I had to guess, would it be an integer division? i.e. div(11,2) => 11/2 = 5?

[Darryl Wallace]

Ok yeah so I wrote a div function that is just

%% Start div function
q = div(num,den)
q = floor(num/den);
%% End div function.

and it appears to be working properly now.

[Ahmed Bderhman]

I think this is a good working and had help me more.

I have this question: i like to change euclidean distance{d=(repmat(Test',1,N)-repmat(Ref,M,1)).^2;} with mahalanobis distance is it possipole? if yes how can i do that?

because i like to test the efficiency of my system when i use euclidean distance and when i used mahalnobis distance.

 

[jose tabora]

Nice code, and nice demo.

Also thanks to Darryl Wallace for providing the needed correction to the div error.

[Harish Kumar]

hi,

This refers to 2 vectors. What if this were to be used for polyline to polyline comparison?

Appreciate your replies. Thanks & Regards,
Harish

[Vlad Atanasiu]

 

[marco gomez]

I don't understand the followig lines:

 w=[m n; w];

% warped waves
rw=r(w(:,1));
tw=t(w(:,2));

Could you explain to me? please.
Thanks