final case class Convolution2L(rate: Rate, in: GE, kernel: GE, trig: GE = 1, frameSize: GE, fadePeriods: GE = 1) extends SingleOut with IsIndividual with Product with Serializable
A frequency-domain convolution UGen using two linearly interpolated fixed kernels. When a trigger is received, a linear fade will be performed from the previously used kernel (internally stored by the UGen) towards the snapshot of the current kernel content upon receiving the trigger.
The delay caused by the convolution when the kernel is a dirac impulse is equal
to frameSize - controlBlockSize , so for a frameSize of 2048 and a
control-block size of 64, this is 1984 sample frames.
Note: If a trigger is received before the previous fade is complete, the interpolation is broken and the kernel instead jumps straight to one of the two buffers.
- in
the realtime input to be convolved
- kernel
buffer identifier for the fixed kernel, which may be modulated in combination with the trigger. Even if the trigger input is initially zero, upon UGen initialization the kernel must point to a valid buffer, otherwise the UGen aborts.
- trig
begins a fade to update the kernel on a change from non-positive to positive (<= 0 to >0).
- frameSize
size of the kernel. this must be a power of two. the FFT calculated internally by the UGen has a size of twice this value. The maximum allowed
frameSizeis 16384. (init-time only)- fadePeriods
fade duration expressed as number of convolved blocks. If the desired duration in seconds is
dur, then the number of periods can be calculated asfadePeriods = dur * SampleRate.ir / frameSize. (init-time only)
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Instance Constructors
- new Convolution2L(rate: Rate, in: GE, kernel: GE, trig: GE = 1, frameSize: GE, fadePeriods: GE = 1)
- in
the realtime input to be convolved
- kernel
buffer identifier for the fixed kernel, which may be modulated in combination with the trigger. Even if the trigger input is initially zero, upon UGen initialization the kernel must point to a valid buffer, otherwise the UGen aborts.
- trig
begins a fade to update the kernel on a change from non-positive to positive (<= 0 to >0).
- frameSize
size of the kernel. this must be a power of two. the FFT calculated internally by the UGen has a size of twice this value. The maximum allowed
frameSizeis 16384. (init-time only)- fadePeriods
fade duration expressed as number of convolved blocks. If the desired duration in seconds is
dur, then the number of periods can be calculated asfadePeriods = dur * SampleRate.ir / frameSize. (init-time only)
Value Members
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- val fadePeriods: GE
- val frameSize: GE
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- val in: GE
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- val kernel: GE
- def makeUGen(_args: Vec[UGenIn]): UGenInLike
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- Convolution2L → UGenSource
- def makeUGens: 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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- Convolution2L → Expander
- final def name: String
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- def productElementNames: Iterator[String]
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- val rate: Rate
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- Convolution2L → GE
- final def synchronized[T0](arg0: => T0): T0
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- val trig: GE
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