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Signal Space Coding over Rings

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Chapter 2: Combined coding and modulation techniques 28<br />

The parameter b~ m identifies a variable m ~ that defines the number of input bits related<br />

with the memory part of the scheme. The output function has as argument the binary<br />

n-tuple ( a a ,..., a )<br />

1 , 2<br />

n<br />

m<br />

:<br />

n<br />

c(<br />

a , a ,..., a ) = c + ∑c<br />

a + ∑ c a a + ... + ∑ c<br />

1<br />

2<br />

0<br />

=<br />

i<br />

i 1<br />

i<br />

> =<br />

j i<br />

j i<br />

ij<br />

, 1<br />

i<br />

j<br />

> ><br />

=<br />

ijl<br />

i,<br />

j,<br />

l 1<br />

l j i<br />

a a a + ... + c<br />

i<br />

j<br />

l<br />

12...<br />

n 1<br />

a a ... a<br />

2<br />

n<br />

(2.22)<br />

The Analytic Description is more conveniently used when coefficients are of the form<br />

of ± 1. Therefore a conversion as shown in Fig. 2.13 is done by using the following<br />

expression:<br />

bi = 1−<br />

2ai<br />

i = 1,<br />

2,...,<br />

n<br />

(2.23)<br />

The expression of the output as a function of the input vector is now of the form:<br />

n<br />

n<br />

c(<br />

b , b ,..., b ) = d + ∑ d b + ∑ d b b + ... + ∑ d<br />

1<br />

2<br />

0<br />

i=<br />

1<br />

i<br />

i<br />

i,<br />

j=<br />

1<br />

j><br />

i<br />

ij<br />

i<br />

j<br />

i,<br />

j,<br />

l=<br />

1<br />

l><br />

j><br />

i<br />

This equation can be expressed in matrix form as:<br />

l<br />

l<br />

c<br />

ijl<br />

b b b + ... + d<br />

i<br />

j<br />

l<br />

12...<br />

n 1<br />

b b ... b<br />

2<br />

n<br />

(2.24)<br />

C = B D<br />

(2.25)<br />

where<br />

⎡ c(<br />

1,<br />

1,...,<br />

1)<br />

⎤<br />

⎢ ⎥<br />

⎢<br />

c(<br />

-1,<br />

1,...,<br />

1)<br />

⎥<br />

⎢ . ⎥<br />

= ⎢ ⎥<br />

⎢ . ⎥<br />

⎢ . ⎥<br />

⎢ ⎥<br />

⎢⎣<br />

c(<br />

-1,<br />

-1,...,<br />

-1)<br />

⎥⎦<br />

C l (2.26)

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