
de.sciss.fscape.graph.ResampleWindow.scala Maven / Gradle / Ivy
/*
* ResampleWindow.scala
* (FScape)
*
* Copyright (c) 2001-2016 Hanns Holger Rutz. All rights reserved.
*
* This software is published under the GNU General Public License v2+
*
*
* For further information, please contact Hanns Holger Rutz at
* [email protected]
*/
package de.sciss.fscape
package graph
import de.sciss.fscape.stream.{StreamIn, StreamOut}
import de.sciss.fscape.{GE, UGen, UGenGraph, UGenIn, UGenInLike, UGenSource, stream}
import scala.collection.immutable.{IndexedSeq => Vec}
/** A band-limited resampling UGen for images/matrices.
* This works like `Resample` but processes each window cell
* across time. Thus is is not _resampling each window by itself_,
* but each "pixel" or matrix cell in a window across successive windows.
*
* @param in the signal to resample
* @param size the window size. Currently this is only read once upon initialization.
* @param factor the resampling factor, where values greater than one
* mean the signal is stretched (sampling-rate increases or pitch lowers)
* and values less than one mean the signal is condensed (sampling-rate decreases
* or pitch rises)
* @param minFactor the minimum expected resampling factor, which controls
* the amount of buffering needed for the input signal. This is used at
* initialization time only. The default
* value of zero makes the UGen settles on the first `factor` value encountered.
* It is possible to use a value actually higher than the lowest provided
* `factor`, in order to limit the buffer usage. In that case, the FIR anti-aliasing
* filter will be truncated.
* @param rollOff the FIR anti-aliasing roll-off width
* @param kaiserBeta the FIR windowing function's parameter
* @param zeroCrossings the number of zero-crossings in the truncated and windowed sinc FIR.
*/
final case class ResampleWindow(in: GE, size: GE, factor: GE, minFactor: GE = 0,
rollOff: GE = 0.86, kaiserBeta: GE = 7.5, zeroCrossings: GE = 15)
extends UGenSource.SingleOut {
protected def makeUGens(implicit b: UGenGraph.Builder): UGenInLike =
unwrap(Vector(in.expand, size.expand, factor.expand, minFactor.expand,
rollOff.expand, kaiserBeta.expand, zeroCrossings.expand))
protected def makeUGen(args: Vec[UGenIn])(implicit b: UGenGraph.Builder): UGenInLike =
UGen.SingleOut(this, args)
private[fscape] def makeStream(args: Vec[StreamIn])(implicit b: stream.Builder): StreamOut = {
val Vec(in, size, factor, minFactor, rollOff, kaiserBeta, zeroCrossings) = args
stream.ResampleWindow(in = in.toDouble, size = size.toInt,
factor = factor.toDouble, minFactor = minFactor.toDouble,
rollOff = rollOff.toDouble, kaiserBeta = kaiserBeta.toDouble, zeroCrossings = zeroCrossings.toInt)
}
}
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