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Table 1. Comparison of the two methods for the synthesis of a sub-sequences generator
Method
Memory cells Logic Gates
d × m
d × wt ( Q )
LFSR synthesis
Multiple steps LFSRs [11]
m
d × wt ( Q )
next
1 ( x i )= x i 1 if
i =0
1-decimation
next
1 ( x 0 )= x 7
( x 2 ) t +1 =( x 3 ) t ( x 0 ) t
x 7
x 6
x 5
x 4
x 3
x 2
x 1
x 0
S
( x 3 ) t +1 =( x 4 ) t ( x 0 ) t
( x 4 ) t +1 =( x 5 ) t ( x 0 ) t
( x i ) t +1 =( x i +1 (mod m ) ) t , ∀i ∈{ 0 , 1 , 5 , 6 , 7 }
3-decimation
next
3 ( x i )= x i 3 if 2 <i≤ 7
x 6
x 3
x 0
S
3
3 ( x i )= x m + i d if 0 ≤ i ≤ 2
next
( x 0 ) t +3 =( x 3 ) t ( x 0 ) t
( x 3 ) t +3 =( x 6 ) t ( x 1 ) t ( x 2 ) t
( x 6 ) t +3 =( x 1 ) t
( x 1 ) t +3 =( x 4 ) t ( x 0 ) t ( x 1 ) t
x 7
x 4
x 1
S
3
( x 4 ) t +3 =( x 2 ) t ( x 7 ) t
( x 7 ) t +3 =( x 2 ) t
( x 2 ) t +3 =( x 5 ) t ( x 0 ) t ( x 1 ) t ( x 2 ) t
( x 5 ) t +3 =( x 0 ) t
x 5
x 2
S
3
Feedback t =0
Feedback t =1
Feedback t =2
Fig. 4. Multiple steps generator for a Galois LFSR
Comparison. We have summarized in the Table 1 the two methods used to synthe-
size the sub-sequences generator. By wt ( Q ( x )), we mean the Hamming weight of
Q , i.e. the number of non-zero monomials. The method based on LFSR synthesis
proves that there exists a solution for the synthesis of the sub-sequences generator.
With this solution, both memory cost and gate number depends on the decima-
tion factor d . The method proposed by Lempel and Eastman [11] uses a constant
number of memory cells for the synthesis of the sub-sequences generator.
The sub-sequences generators defined with the Berlekamp-Massey algorithm
are not suitable to reduce the power consumption of an LFSR. Indeed, d LFSRs
will be clocked to produce the sub-sequences, however the power consumption
of such a sub-sequence generator is given by:
C d ×
γf
d
V dd ×
P = d
×
V dd ×
= λC
×
γf
with C d = λC and C the capacity of the original LFSR. We can achieve a better
result with a multiple steps LFSR:
γf
d
P = λ C
V dd ×
×
with C d = λ C .
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