dtwWindowingFunctions | R Documentation |
Various global constraints (windows) which can be applied to the
window.type
argument of dtw()
, including the Sakoe-Chiba
band, the Itakura parallelogram, and custom functions.
sakoeChibaWindow(iw, jw, window.size, ...) slantedBandWindow(iw, jw, query.size, reference.size, window.size, ...) itakuraWindow(iw, jw, query.size, reference.size, ...) dtwWindow.plot(fun, query.size = 200, reference.size = 220, ...) noWindow(iw, jw, ...)
iw |
index in the query (row) – automatically set |
jw |
index in the reference (column) – automatically set |
window.size |
window size, used by some windowing functions – must be set |
... |
additional arguments passed to windowing functions |
query.size |
size of the query time series – automatically set |
reference.size |
size of the reference time series – automatically set |
fun |
a windowing function |
Windowing functions can be passed to the window.type
argument in
dtw()
to put a global constraint to the warping paths allowed.
They take two integer arguments (plus optional parameters) and must return a
boolean value TRUE
if the coordinates fall within the allowed region
for warping paths, FALSE
otherwise.
User-defined functions can read variables reference.size
,
query.size
and window.size
; these are pre-set upon invocation.
Some functions require additional parameters which must be set (e.g.
window.size
). User-defined functions are free to implement any
window shape, as long as at least one path is allowed between the initial
and final alignment points, i.e., they are compatible with the DTW
constraints.
The sakoeChibaWindow
function implements the Sakoe-Chiba band, i.e.
window.size
elements around the main
diagonal. If the window
size is too small, i.e. if reference.size
-query.size
>
window.size
, warping becomes impossible.
An itakuraWindow
global constraint is still provided with this
package. See example below for a demonstration of the difference between a
local the two.
The slantedBandWindow
(package-specific) is a band centered around
the (jagged) line segment which joins element [1,1]
to element
[query.size,reference.size]
, and will be window.size
columns
wide. In other words, the "diagonal" goes from one corner to the other of
the possibly rectangular cost matrix, therefore having a slope of
M/N
, not 1.
dtwWindow.plot
visualizes a windowing function. By default it plots a
200 x 220 rectangular region, which can be changed via reference.size
and query.size
arguments.
Windowing functions return TRUE
if the coordinates passed as
arguments fall within the chosen warping window, FALSE
otherwise.
User-defined functions should do the same.
Although dtwWindow.plot
resembles object-oriented notation,
there is not a such a dtwWindow class currently.
A widely held misconception is that the "Itakura parallelogram" (as
described in reference 2) is a global constraint, i.e. a window.
To the author's knowledge, it instead arises from the local slope
restrictions imposed to the warping path, such as the one implemented by the
typeIIIc()
step pattern.
Toni Giorgino
Sakoe, H.; Chiba, S., Dynamic programming algorithm optimization for spoken word recognition, Acoustics, Speech, and Signal Processing, IEEE Transactions on , vol.26, no.1, pp. 43-49, Feb 1978 doi: 10.1109/TASSP.1978.1163055
Itakura, F., Minimum prediction residual principle applied to speech recognition, Acoustics, Speech, and Signal Processing, IEEE Transactions on , vol.23, no.1, pp. 67-72, Feb 1975. doi: 10.1109/TASSP.1975.1162641
## Display some windowing functions dtwWindow.plot(itakuraWindow, main="So-called Itakura parallelogram window") dtwWindow.plot(slantedBandWindow, window.size=2, reference=13, query=17, main="The slantedBandWindow at window.size=2") ## Asymmetric step with Sakoe-Chiba band idx<-seq(0,6.28,len=100); query<-sin(idx)+runif(100)/10; reference<-cos(idx); asyband<-dtw(query,reference,keep=TRUE, step=asymmetric, window.type=sakoeChibaWindow, window.size=30 ); dtwPlot(asyband,type="density",main="Sine/cosine: asymmetric step, S-C window")
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