Apply moving window function to blocks of data
[
,
where tA
,tB
,...] = matlab.tall.movingWindow(fcn
,window
,tX
,tY
,...)fcn
is a function handle that returns multiple outputs, returns
arrays tA,tB,...
, each corresponding to one of the output arguments of
fcn
. The inputs to fcn
are windows of data from the
arguments tX, tY, ...
. This syntax has these requirements:
fcn
must return the same number of outputs as were requested
from matlab.tall.movingWindow
.
Each output of fcn
must be the same type as the first data
input tX
.
All outputs tA,tB,...
must have the same height.
[___] = matlab.tall.movingWindow(___,
specifies additional options with one or more name-value pair arguments using any of the
previous syntaxes. For example, to adjust the step size between windows, you can specify
Name,Value
)'Stride'
and a scalar. Or to change the treatment of endpoints where
there are not enough elements to complete a window, you can specify
'EndPoints'
and a valid option ('shrink'
,
'discard'
, or a numeric padding value).
Use matlab.tall.movingWindow
for simple sliding-window calculations.
matlab.tall.blockMovingWindow
is an advanced API designed to
provide more flexibility to perform sliding-window calculations on tall arrays. As such, it
is more complicated to use since the functions must accurately process blocks of data that
contain many complete windows. However, with properly vectorized calculations, you can
reduce the necessary number of function calls and improve performance.