final case class RunningWindowMax(in: GE, size: GE, trig: GE = 0) extends SingleOut with Product with Serializable
A UGen that like RunningMax calculates the maximum observed value of the
running input. However, it operates on entire windows, i.e. it outputs
windows that contain the maximum elements of all the past windows observed.
- in
the windowed signal to monitor
- size
the window size. This should normally be a constant. If modulated, the internal buffer will be re-allocated, essentially causing a reset trigger.
- trig
a trigger signal that clears the internal state. When a trigger is observed, the _currently processed_ window is reset altogether until its end, beginning accumulation again from the successive window. Normally one will thus want to emit a trigger in sync with the _start_ of each window. Emitting multiple triggers per window does not have any effect different from emitting the first trigger in each window.
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new
RunningWindowMax(in: GE, size: GE, trig: GE = 0)
- in
the windowed signal to monitor
- size
the window size. This should normally be a constant. If modulated, the internal buffer will be re-allocated, essentially causing a reset trigger.
- trig
a trigger signal that clears the internal state. When a trigger is observed, the _currently processed_ window is reset altogether until its end, beginning accumulation again from the successive window. Normally one will thus want to emit a trigger in sync with the _start_ of each window. Emitting multiple triggers per window does not have any effect different from emitting the first trigger in each window.
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def
makeUGen(args: IndexedSeq[UGenIn])(implicit b: Builder): UGenInLike
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def
makeUGens(implicit b: Builder): UGenInLike
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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- val size: GE
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