One-to-two dimensional mapping of DFT - PowerPoint PPT Presentation

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One-to-two dimensional mapping of DFT

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Prime Radix Algorithm ... Prime Radix Algorithm. Recall that for any fixed ... Prime Radix Algorithm. Since (i) and there are no common factors ... – PowerPoint PPT presentation

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Title: One-to-two dimensional mapping of DFT


1
One-to-two dimensionalmapping of DFT
  • Let
  • so that
  • and

2
One-to-two dimensionalmapping of DFT
  • Modification of
  • Can be a 1-D DFT if
  • Modification of resulting array
  • Can be a 1-D DFT if

3
One-to-two dimensionalmapping of DFT
  • Thus the conditions below must prevail
  • We identify 4 cases.
  •  1)
  • When
  • 2)
  • When

4
One-to-two dimensionalmapping of DFT
  •  3)
  • When
  • 4)
  • When

5
One-to-two dimensionalmapping of DFT
  • Since .
  •  
  • And n must range from 0 to
  • and k must range from 0 to
  • Only two cases are viable
  • Case A and Case B

6
One-to-two dimensionalmapping of DFT
  • .
  • Twiddle factors
  • Computational Complexity
  • Inner DFT
    Outer DFT
  • Twiddle factors
    Total

7
One-to-two dimensionalmapping of DFT
  • Address mappings (Case A) .
  •  

0 1 1
0
1
2
3
..
..

8
Good - Thomas mapping
  • Consider the index in the exponential of a DFT
  • For the elimination of cross terms and for proper
    DFTs we need-
  • Thus and hence
  • Similarly
  • All conditions w.r.t.

9
Good - Thomas mapping
  • When there exist
  • such that
  • Euclids Algorithm

10
Euclids Algorithm
  • (31,11)
  • (1) 312x119
  • (2) 111x92
  • (3) 94x21
  • 4x(2) yields
  • 4x114x94x24x9(9-1)5x9-1
  • 5x(1) yields
  • 5x3110x115x910x11(4x111)
  • Thus 5x31-4x111 ie

11
One-to-two dimensionalmapping of DFT
  • The mapping from n to is obtained
    from as
  • Hence
  • and

12
Euclids Algorithm
  • Given to show that
  • Assume and write
  • Now consider
  • And reduce then the result is in some order

13
One-to-two dimensionalmapping of DFT
  • For each residue of ,
    will be different, else and for
    and we have
  • And hence divides r which is untrue as
    or divides which is also untrue as

14
One-to-two dimensionalmapping of DFT
  • Hence an n such that
  • Thus . But and hence
  • Or
  • Since and it follows that it is also true

15
Prime Radix Algorithm
  • Finite duration signal
  • DFT
  • Set so that

16
Prime Radix Algorithm
  • Computational Complexity
  • Reduction in complexity is achievable via
    segmented computations
  • for even N
  • point DFTs

17
Prime Radix Algorithm
18
Prime Radix Algorithm
  • May be regarded as

19
Prime Radix Algorithm
  • Recall that for any
    fixed and with
    prime
  • is equal to a rearrangement of the integers

20
Prime Radix Algorithm
  • Since
  • (i) and there are no common factors between n.k
    and P
  • (ii) For every multiple of P we have
  •  It follows that all powers of W from 0 to P will
    exist in each but not in the same order.

21
Prime Radix Algorithm
  • Thus for

22
Prime Radix Algorithm
23
Prime Radix Algorithm
  • In general
  •  and
  •  
  • where
  • Note that in view of the Number Theoretic result
    we can also rearrange w.r.t. any number Q i.e.
    Reduce n.k .Q mod P

24
Prime Radix Algorithm
  • The signal flow graphs and transfer functions are

25
Prime Radix Algorithm

26
Prime Radix Algorithm

P Q Cos(2pQ/P) Shift/PROM Scaling
17 4 0.0923
29 7 0.05411
47 1 0.9911
27
Prime Radix Algorithm

  • when

28
Prime Radix Algorithm
  • Approximation is in the denominator where ideally
  • Actually
  • with small
  • Hence actual operation can be modified to improve
    performance towards ideal

29
Prime Radix Algorithm
  • Thus
  • hence
  • where
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