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This collection of modules is from a Rice University, ECE Department Technical Report written around September 1994. It grew out of the doctoral and post doctoral research of Ivan Selesnick working with Prof. C. Sidney Burrus at Rice. Earlier reports on this work were published in the ICASSP and ISCAS conference proceedings in 1992-94 and a fairly complete report was published in the IEEE Transaction on Signal Processing in January 1996.

A bilinear form for the dft

A bilinear form for a prime length DFT can be obtained by making minor changes to a bilinear form for circular convolution.This relies on Rader's observation that a prime p point DFT can be computed by computing a p - 1 point circular convolution and by performing some extra additions [link] . It turns out that when the Winograd or the split nestingconvolution algorithm is used, only two extra additions are required.After briefly reviewing Rader's conversion of a prime length DFT in to a circular convolution,we will discuss a bilinear form for the DFT.

Rader's permutation

To explain Rader's conversion of a prime p point DFT into a p - 1 point circular convolution [link] we recall the definition of the DFT

y ( k ) = n = 0 p - 1 x ( n ) W k n

with W = exp - j 2 π / p . Also recall that a primitive root of p is an integer r such that r m p maps the integers m = 0 , , p - 2 to the integers 1 , , p - 1 . Letting n = r - m and k = r l , where r - m is theinverse of r m modulo p , the DFT becomes

y ( r l ) = x ( 0 ) + m = 0 p - 2 x ( r - m ) W r l r - m

for l = 0 , , p - 2 . The `DC' term fis given by y ( 0 ) = n = 0 p - 1 x ( n ) . By defining new functions

x ( m ) = x ( r - m ) , y ( m ) = y ( r m ) , W ( m ) = W r m

which are simply permuted versions of the original sequences, the DFT becomes

y ( l ) = x ( 0 ) + m = 0 p - 2 x ( m ) W ( l - m )

for l = 0 , , p - 2 . This equation describes circular convolution and thereforeany circular convolution algorithm can be used to compute a prime length DFT.It is only necessary to (i) permute the input, the roots of unityand the output, (ii) add x ( 0 ) to each term in [link] and (iii) compute the DC term.

To describe a bilinear form for the DFT we first define a permutation matrix Q for the permutation above. If p is a prime and r is a primitive root of p , then let Q r be the permutation matrix defined by

Q e r k p - 1 = e k

for 0 k p - 2 where e k is the k t h standard basis vector. Let the w ˜ be a p - 1 point vector of the roots of unity:

w ˜ = ( W 1 , , W p - 1 ) t .

If s is the inverse of r modulo p (that is, r s = 1 modulo p ) and x ˜ = ( x ( 1 ) , , x ( p - 1 ) ) t , then the circular convolution of [link] can be computed with the bilinear form of [link] :

Q s t J P t R t B t C t R - t P J Q s w ˜ * A R P Q r x ˜ .

This bilinear form does not compute y ( 0 ) , the DC term. Furthermore, it is still necessary to add the x ( 0 ) term to each of the elements of [link] to obtain y ( 1 ) , , y ( p - 1 ) .

Calculation of the dc term

The computation of y ( 0 ) turns out to be very simple when the bilinear form [link] is used to compute the circular convolution in [link] . The first element of A R P Q r x ˜ in [link] is the residue modulo the polynomial s - 1 , that is, the first element of this vector is the sum of the elements of x ˜ . (The first row of the matrix, R , representing the reduction operation is a row of 1's, and the matrices P and Q r are permutation matrices.) Therefore, the DC term can be computed by adding the first element of A R P Q r x ˜ to x ( 0 ) . Hence, when the Winograd or split nesting algorithm is used to perform thecircular convolution of [link] , the computation of the DC term requires only one extra complex addition for complex data.

The addition x ( 0 ) to each of the elements of [link] also requires only one complex addition. By adding x ( 0 ) to the first element of C t R - t P J Q s w ˜ * A R P Q r x ˜ in [link] and applying Q s t J P t R t to the result, x ( 0 ) is added to each element. (Again, this is because the first column of R t is a column of 1's, and the matrices Q s t , J and P t are permutation matrices.)

Although the DFT can be computed by making these two extra additions, this organization of additions does not yield a bilinear form.However, by making a minor modification, a bilinear form can be retrieved. The method described above can be illustrated in [link] with u = C t R - t P J Q s w ˜ .

The flow graph for the computation of the DFT.

Clearly, the structure highlighted in the dashed box can be replaced by the structure in [link] .

The flow graph for the bilinear form.

By substituting the second structure for the first, a bilinear form is obtained.The resulting bilinear form for a prime length DFT is

y = 1 Q s t J P t R t B t U p t V p 1 C t R - t P J Q s w * U p 1 A R P Q r x

where w = ( W 0 , , W p - 1 ) t , x = ( x ( 0 ) , , x ( p - 1 ) ) t , and where U p is the matrix with the form

U p = 1 1 1 1 1

and V p is the matrix with the form

U p = 1 -1 1 1 1

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Source:  OpenStax, Automatic generation of prime length fft programs. OpenStax CNX. Sep 09, 2009 Download for free at http://cnx.org/content/col10596/1.4
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