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Moving minimum

`M = movmin(A,k)`

`M = movmin(A,[kb kf])`

`M = movmin(___,dim)`

`M = movmin(___,nanflag)`

`M = movmin(___,Name,Value)`

`M = movmin(`

returns
an array of local `A`

,`k`

)`k`

-point centered minimum values,
where each minimum is calculated over a sliding window of length `k`

across
neighboring elements of `A`

. When `k`

is
odd, the window is centered about the element in the current position.
When `k`

is even, the window is centered about the
current and previous elements. The window size is automatically truncated
at the endpoints when there are not enough elements to fill the window.
When the window is truncated, the minimum is taken over only the elements
that fill the window. `M`

is the same size as `A`

.

If

`A`

is a vector, then`movmin`

operates along the length of the vector.If

`A`

is a multidimensional array, then`movmin`

operates along the first array dimension whose size does not equal 1.

`M = movmin(___,`

returns
the array of sliding minimums along dimension `dim`

)`dim`

for
any of the previous syntaxes. For example, if `A`

is
a matrix, then `movmin(A,k,2)`

operates along the
columns of `A`

, computing the `k`

-element
sliding minimum for each row.

`M = movmin(___,`

specifies
whether to include or omit `nanflag`

)`NaN`

values from the
calculation for any of the previous syntaxes. `movmin(A,k,'includenan')`

includes
all `NaN`

values in the calculation while `movmin(A,k,'omitnan')`

ignores
them and computes the minimum over fewer points.

`M = movmin(___,`

specifies
additional parameters for the minimum using one or more name-value
pair arguments. For example, if `Name,Value`

)`x`

is a vector of
time values, then `movmin(A,k,'SamplePoints',x)`

computes
the moving minimum relative to the times in `x`

.

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