final case class TransposeMatrix[A](in: GE[A], rows: I, columns: I) extends SingleOut[A] with Product with Serializable
A UGen that transposes 2-dimensional matrices.
This is a 2-dimensional windowed process, where
each window has length rows * columns. Input
is assumed to be "left-to-right, top-to-bottom",
so the first samples constitute the first row,
the next samples constitute the second row, etc.
Note: The UGens takes up twice the matrix size of memory.
The output matrix is transposed (rows and columns
exchanged). So an input of (a, b, c, d, e, f)
with rows = 2 and columns = 3 is interpreted
as ((a, b, c), (d, e, f)), transposed as
((a, d), (b, e), (c, f)) and output flat as
(a, d, b, e, c, f).
To rotate an image ninety
degrees clockwise, you would have rows = height
and columns = width.
- in
the input matrices
- rows
the number of rows of the _input_
- columns
the number of columns of the _input_
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Abstract method which must be implemented by creating the actual
UGens during expansion.Abstract method which must be implemented by creating the actual
UGens during expansion. This method is at most called once during graph expansion- returns
the expanded object (depending on the type parameter
U)
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