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applying shift and decimation operators to an m -sequence. We conclude this
section by pointing out a relationship between the Reed-Muller code and the
sequences with index bounded spectral sequences.
Note that
F n can be considered as a linear space of dimension 2 n over
F 2 when
∈F n ,
therearetwocommonwaystorepresent f as a binary vector of dimension q
( q =2 n ). One is the so-called the boolean bases, reviewed as follow.
Let f be of a boolean representation. We list the elements in
F n is represented by a binary vector of dimension q .For f
each function in
2 in the same
F
order as the truth table of f .Thus,
f ( x 0 ,x 1 ,...,x n− 1 )=( f ( t 0 ) ,f ( t 1 ) ,...,f ( t q− 1 )) ,
+ t i,n− 1 2 n− 1 , 0
where t i =( t i, 0 ,t i, 1 ,...,t i,n− 1 ) ,t ij F 2 with i = t i, 0 + t i, 1 2+
···
i<q.
For x =( x 0 ,...,x n− 1 )and c =( c 0 ,...,c n− 1 )in
2 ,wedenote
F
x c n− 1
x c = x c 0 x c 1
···
n− 1 .
Then, the basis Δ of
F n , regarded as a linear space over
F 2 , consists of all
monomial terms:
x c |
n
2
Δ =
{
c
F
}
.
Thisbasisisreferredtoasa boolean basis of
F n .
3.1
Polynomial Bases
Let f be of the polynomial form. We use the cyclic multiplicative group of
F 2 n ,
i.e.,
f ( x )=( f (0) ,f (1) ,f ( α ) ,...,f ( α 2 n 2 )) = ( f (0) ,a 0 ,a 1 ,...,a 2 n 2 )
(16)
where a t = f ( α t ) is defined by (14). Let
Tr n 1 ( β k ( α i x ) k )
Π k =
{
|
,i =0 , 1 ,...,n k
1
}
k F 2 n k
(17)
where n k is the size of the coset containing k (how to select β k willbegiveninthe
next subsection). Note that ik
| i =0 , 1 ,...,n k 1 } is a basis of F 2 n k over F 2 ,
so is {cα ik
| i =0 , 1 ,...,n k 1 } for any nonzero c ∈ F 2 n k . From Proposition 1,
any function in
F n can be represented as a sum of the trace monomial terms.
For each trace monomial term Tr n k
1
( A k x k ), since A k F 2 n k ,wehave A k =
n k 1
i =0
c i β k α ik ,c i F 2 . Using the linear property of the trace function, we have
n k 1
Tr n k
1
( A k x k )=
Tr n k
1
( c i β k ( α i x ) k ) .
i =0
Thus, we have showed the following result.
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