Object

de.sciss.dsp

WindowedSincFilter

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object WindowedSincFilter

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val DefaultSamplesPerCrossing: Int

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. def createAntiAliasFilter(impResp: Array[Float], impRespD: Array[Float], halfWinSize: Int, rollOff: Double, kaiserBeta: Double, samplesPerCrossing: Int = DefaultSamplesPerCrossing): Double

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    impResp

    wird mit Impulsantworten gefuellt

    impRespD

    Differenzen : null erlaubt, dann keine Interpolation von Resample etc. moeglich

    halfWinSize

    Zahl d. Koeffizienten; => smpPerCrossing * ZahlDerNulldurchlaeufe

    rollOff

    0...1 CutOff

    kaiserBeta

    Parameter fuer Kaiser-Fenster

    samplesPerCrossing

    bezogen auf den sinc

    returns

    Gain-Wert (abs amp), der den LPF bedingten Lautstaerkeverlust ausgleichen wuerde

  8. def createLPF(impResp: Array[Float], freq: Double, halfWinSize: Int, kaiserBeta: Double, samplesPerCrossing: Int = DefaultSamplesPerCrossing): Unit

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    impResp

    Ziel-Array der Groesse 'halfWinSize' fuer Impulsantwort

    freq

    Grenzfrequenz

    halfWinSize

    Groesse des Kaiser-Fensters geteilt durch zwei

    kaiserBeta

    Parameter fuer Kaiser-Fenster

    samplesPerCrossing

    Zahl der Koeffizienten pro Periode

  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  22. final def wait(arg0: Long): Unit

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