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for . The definition of cyclic convolution of two sequences is given by
for and all indices evaluated modulo N. We would like to find the properties of the transformation such that it willsupport the cyclic convolution. This means that if , , and are the transforms of , , and respectively,
The conditions are derived by taking the transform defined in [link] of both sides of equation [link] which gives
Making the change of index variables, , gives
But from [link] , this must be
This must be true for all , , and , therefore from [link] and [link] we have
For we have
and, therefore, . For we have
For we likewise have
and, therefore,
But
therefore,
Defining gives the form for our general linear transform [link] as
where is a root of order , which means that is the smallest integer such that .
Theorem 1 The transform [link] supports cyclic convolution if and only if is a root of order and is defined.
This is discussed in [link] , [link] .
Theorem 2 The transform [link] supports cyclic convolution if and only if
where
and
This theorem is a more useful form of Theorem 1. Notice that .
One needs to find appropriate , , and such that
We see that if is even, it has a factor of 2 and, therefore, which implies should be odd. If is prime the which is as large as could be expected in a field of integers. For , let be a composite where is prime. Then divides and the maximum possible length of the transformwill be governed by the length possible for . Therefore, only the prime need be considered interesting. Numbers of this form are know as Mersenne numbers and have been used by Rader [link] . For Mersenne number transforms, it can be shown that transforms of length at least exist and the corresponding . Mersenne number transforms are not of as much interest because is not highly composite and, therefore, we do not have FFT-type algorithms.
For and odd, 3 divides and the maximum possible transform length is 2. Thus we consider only even . Let , where is an odd integer. Then divides and the length of the possible transform will be governed by the length possiblefor . Therefore, integers of the form are of interest. These numbers are known as Fermat numbers [link] . Fermat numbers are prime for and are composite for all .
Since Fermat numbers up to are prime, where and we can have a Fermat number transform for any length where . For these Fermat primes the integer is of order allowing the largest possible transform length. The integer is of order . This is particularly attractive since to a power is multiplied times the data values in [link] .
The following table gives possible parameters for various Fermat number moduli.
t | b | for | ||||
3 | 8 | 16 | 32 | 256 | 3 | |
4 | 16 | 32 | 64 | 65536 | 3 | |
5 | 32 | 64 | 128 | 128 | ||
6 | 64 | 128 | 256 | 256 |
This table gives values of for the two most important values of which are 2 and . The second column give the approximate number of bits in the number representation. The third columngives the Fermat number modulus, the fourth is the maximum convolution length for , the fifth is the maximum length for , the sixth is the maximum length for any , and the seventh is the for that maximum length. Remember that the first two rows have a Fermat number modulus which is prime and second two rowshave a composite Fermat number as modulus. Note the differences.
The books, articles, and presentations that discuss NTT and related topics are [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] , [link] . A recent book discusses NT in a signal processing context [link] .
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