object
fourierTransform extends UFunc
Type Members
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type
Impl2[V1, V2, VR] = UImpl2[fourierTransform.this.type, V1, V2, VR]
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type
Impl3[V1, V2, V3, VR] = UImpl3[fourierTransform.this.type, V1, V2, V3, VR]
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Value Members
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final
def
!=(arg0: AnyRef): Boolean
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: AnyRef): Boolean
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final
def
==(arg0: Any): Boolean
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final
def
apply[V1, V2, V3, VR](v1: V1, v2: V2, v3: V3)(implicit impl: Impl3[V1, V2, V3, VR]): VR
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final
def
apply[V1, V2, VR](v1: V1, v2: V2)(implicit impl: Impl2[V1, V2, VR]): VR
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final
def
apply[V, VR](v: V)(implicit impl: Impl[V, VR]): VR
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final
def
asInstanceOf[T0]: T0
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implicit
def
canZipMapValuesImpl[T, V1, VR, U](implicit handhold: HandHold[T, V1], impl: Impl2[V1, V1, VR], canZipMapValues: CanZipMapValues[T, V1, VR, U]): Impl2[T, T, U]
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
inPlace[V, V2, V3](v: V, v2: V2, v3: V3)(implicit impl: generic.UFunc.InPlaceImpl3[fourierTransform.this.type, V, V2, V3]): Unit
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
Returns the fast fourier transform of a DenseVector or DenseMatrix. Currently, DenseVector/DenseMatrix types of Double and Complex are supported. Scaling follows the common signal processing convention, i.e. no scaling on forward DFT, and 1/n scaling for the inverse DFT. Of note, fft(x: DenseMatrix[Double]) will perform the 2D fft in both row and column dimensions, as opposed to the MatLab toolbox syntax, which performs column-wise 1D fft. Implementation is via the implicit trait fft.Impl[ InputType, OutputType ], which is found in breeze.signal.support.fft.Impl.scala.