Discrete Fourier series

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In digital signal processing, a discrete Fourier series (DFS) is a Fourier series whose sinusoidal components are functions of a discrete variable instead of a continuous variable. The result of the series is also a function of the discrete variable, i.e. a discrete sequence. A Fourier series, by nature, has a discrete set of components with a discrete set of coefficients, also a discrete sequence. So a DFS is a representation of one sequence in terms of another sequence. Well known examples are the Discrete Fourier transform and its inverse transform.[1]Template:Rp

Introduction

Relation to Fourier series

The exponential form of Fourier series is given by:

s(t)=k=S[k]ei2πkPt,

which is periodic with an arbitrary period denoted by P. When continuous time t is replaced by discrete time nT, for integer values of n and time interval T, the series becomes:

s(nT)=k=S[k]ei2πkPnT,n.

With n constrained to integer values, we normally constrain the ratio P/T=N to an integer value, resulting in an N-periodic function:

Discrete Fourier series
sN[n]s(nT)=k=S[k]ei2πkNn

which are harmonics of a fundamental digital frequency 1/N. The N subscript reminds us of its periodicity. And we note that some authors will refer to just the S[k] coefficients themselves as a discrete Fourier series.[2]Template:Rp

Due to the N-periodicity of the ei2πkNn kernel, the infinite summation can be "folded" as follows:

sN[n]=m=(k=0N1ei2πkmNNn S[kmN])=k=0N1ei2πkNn(m=S[kmN])SN[k],

which is the inverse DFT of one cycle of the periodic summation, SN.[1]Template:Rp [3]Template:Rp

References

Template:Reflist

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