Some Notes on the Binary GV Bound for Linear Codes Sixth International Workshop on Optimal Codes and...
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Transcript of Some Notes on the Binary GV Bound for Linear Codes Sixth International Workshop on Optimal Codes and...
Some Notes on the Binary GV Bound for Linear Codes
Sixth International Workshop on
Optimal Codes and Related Topics June 16 - 22, 2009, Varna, BULGARIA
Dejan Spasov, Marjan Gusev
Agenda• Intro
• The greedy algorithm• The Varshamov estimate
• Main result(s)• Proof outline
• Comparison with other results
The Greedy Algorithm
• Given d and m; Initialize H
• For each • add x to H , if the x is NOT linear combination of d-2 columns of H
2mx F
H x
The Varshamov’s Estimate• The greedy code will have parameters
AT LEAST as good as the code parameters that satisfy
• Example: Let m=32• The greedy [ 8752, 8720, 5 ] does exist
• Varshamov - [ 2954, 2922, 5 ]
• Can we find a better estimate?
, 2 2mV n d
, ,n k d
Main Result• The code can be extended to a
code provided
• The existence of can be confirmed by the GV bound or recursively until
, ,n k d
1, ,n l k l d
min 2,
12
, 2 2d l
n k
ii i
lV n d i
i
, ,n k d
1m d
Some Intuition
1. Every d -1 columns of are linearly independent
2. Let
and let
3. This is OK if
4. But the Varshamov’s estimate will count twice
x x
1i j d
H 1 n2
x
1 2 j
1 2 i
Proof Outline
• - all vectors that are linear combination of d-2 columns from H
• Find
• As long as • Keep adding vectors
• - Varshamov bound
H
, 2H m d
, 2H m d
, 2 , 2H m d V n d
, 2H m d 12m
Proof Outline
0 0 1 1 1
0
0
H
12m
m
Use only odd number of columns
min 2,
1
12
, 2 2 , 2d l
m
ii i
lH m d V n d i
i
l
Further Results• The code can be extended to a
code provided , ,n k d
1, ,n l k l d
min 2,
2 312
, 3 2d l
md i d
ii i
lC V n d C
i
2 2max 1 , 2
2
22
22 0
maxd i d id i i p d
z p d
d i
d iz d p j
C C p
p n pC p
j z j
0 0 1 1 1
0
0
H
3d
Comparison: Jiang & Vardy
2log
2 2
min ,
1 12
10 , 12
log , 1 log , 1
1, 1
6
n M
w id d
w i dw ij
V n d
V n d e n d
n w n we n d
w i i j
2log, 1 2n McV n d
n
Comparison: Jiang & Vardy
2log, 1 2n McV n d
n
min 2,
12
, 2 2d l
n k
ii i
lV n d i
i
For d/n=const
For d/n->0