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Figure 3.11 Illustration of the quantization process<br />

Let the quantizati on error bedenoted by the random<br />

variable Q of sample value q<br />

q m <br />

Q M V<br />

,<br />

Assuming a uniform quantizer of the midrise type<br />

2m<br />

max<br />

the step -size is <br />

(3.25)<br />

L<br />

m max m m max,<br />

L : total number of levels<br />

1<br />

<br />

<br />

, <br />

( ) <br />

(3.26)<br />

0, otherwise 2 q <br />

fQ<br />

q <br />

2<br />

<br />

2<br />

Q<br />

E[<br />

Q<br />

2<br />

] <br />

(3.23)<br />

( E[<br />

M ] 0)<br />

(3.24)<br />

<br />

2<br />

<br />

<br />

2<br />

<br />

q<br />

2<br />

f<br />

Q<br />

1<br />

( q)<br />

dq <br />

<br />

<br />

2<br />

<br />

<br />

2<br />

2<br />

<br />

<br />

(3.28)<br />

12<br />

<br />

q<br />

2<br />

dq<br />

When the quatized<br />

where R is the number of bits per sample<br />

2m<br />

max<br />

<br />

R<br />

2<br />

(3.31)<br />

2 1 2 2R<br />

<br />

Q<br />

mmax2<br />

3<br />

(3.32)<br />

Let P denote the average power of m(<br />

t)<br />

(SNR)<br />

o<br />

L 2<br />

R log<br />

( SNR)<br />

sample is<br />

o<br />

R<br />

2<br />

Q<br />

3P<br />

(<br />

2<br />

m<br />

max<br />

)2<br />

increases exponentially with<br />

2<br />

L<br />

P<br />

<br />

<br />

expressed in binary form,<br />

2R<br />

(3.29)<br />

(3.30)<br />

(3.33)<br />

increasing<br />

R (bandwidth).

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