StereoConvolution2L

object StereoConvolution2L extends ProductReader[StereoConvolution2L]

A frequency domain stereo convolution UGen, capable of performing linear cross-fades between kernel updates. When receiving a trigger, there is a linear cross-fade between the old kernel the new buffer contents. It operates similar to Convolution2L , however uses two buffers and outputs a stereo signal, resulting in better CPU usage than two discrete instances of Convolution2L as this way one FFT transformation per period is saved.

'''Warning: This UGen seems currently broken (SC 3.6.3)'''

See also
Companion
class
trait Product
trait Mirror
trait ProductReader[StereoConvolution2L]
class Object
trait Matchable
class Any

Type members

Inherited types

type MirroredElemLabels <: Tuple

The names of the product elements

The names of the product elements

Inherited from
Mirror
type MirroredLabel <: String

The name of the type

The name of the type

Inherited from
Mirror

Value members

Concrete methods

def ar(in: GE, kernelL: GE, kernelR: GE, trig: GE, frameSize: GE, fadePeriods: GE): StereoConvolution2L
Value Params
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 as fadePeriods = dur * SampleRate.ir / frameSize . ''(init-time only)''

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 frameSize is 16384. ''(init-time only)''

in

the realtime input to be convolved

kernelL

buffer identifier for the left channel's fixed kernel, which may be modulated in combination with the trigger

kernelR

buffer identifier for the right channel's fixed kernel, which may be modulated in combination with the trigger

trig

updates the kernel on a change from non-positive to positive (<= 0 to >0), and starts a new cross-fade from the previous kernel to the new one over the given amount of periods.

def read(in: RefMapIn, key: String, arity: Int): StereoConvolution2L