FFT (FSharp.Stats)

FFT Module

FFT analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.

Function or value	Description
`asymmetricScalingInPlace a` Full Usage: `asymmetricScalingInPlace a` Parameters: a : `float array` - Returns: `float array`	No scaling in forward direction. a : `float array` Returns: `float array` Example
`forwardInPlace a` Full Usage: `forwardInPlace a` Parameters: a : `Complex[]` Returns: `Complex[]`	a : `Complex[]` Returns: `Complex[]`
`inverseAsymmetricScalingInPlace a` Full Usage: `inverseAsymmetricScalingInPlace a` Parameters: a : `float array` - Returns: `float array`	Only scale by 1/N in the inverse direction; No scaling in forward direction. a : `float array` Returns: `float array` Example
`inverseInPlace a` Full Usage: `inverseInPlace a` Parameters: a : `Complex[]` Returns: `Complex[]`	a : `Complex[]` Returns: `Complex[]`
`inverseSymmetricScalingInPlace a` Full Usage: `inverseSymmetricScalingInPlace a` Parameters: a : `float array` - Returns: `float array`	Universal; Symmetric scaling and common exponent (used in Maple) Default a : `float array` Returns: `float array` Example
`symmetricScalingInPlace a` Full Usage: `symmetricScalingInPlace a` Parameters: a : `float array` - Returns: `float array`	Universal; Symmetric scaling and common exponent (used in Maple) Default InverseExponent a : `float array` Returns: `float array` Example