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Brief Introduction

Signal processing is much important.

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Discrete Fourier Series(DFS)

Extending signal series x(n) with n=0 to N-1 by periodic repetition every N samples, below periodic sequence is generated

DFS

DFS

where N is the fundamental period, as positive integer, r is integer.

The DFS and inverse DFS are defined as

DFS pair

DFS is used for frequency analysis of periodic, discrete time and infinite duartion signal.

 

From FS to DFS

DFS can be derived from the Fourier series, as follows.

According to FS,

FS

Suppose each period of the signal is sampled with N points, then the x(t) becomes

It can be seen that frequency components of ~x(n) are

By defining

~x(n) becomes

which is the inverse DFS.

 

Properties of DFS

1 Periodicity

Periodicity

 

2 Linearity

Linearity

3 Sequence Shift

4 Duality

Duality

5 Symmetry

Symmetry

6 Periodic Convolution

 

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Basic
  Compelx Number
  Even and Odd Function
  Fourier Series(FS)
  Fourier Transform(FT)
  Discrete Fourier Transform(DFT)
  Discrete Fourier Series(DFS)
  Laplace Transform(LT)
Technical Note
 Sinc Wave and its Spectrum