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B. P. Lathi, Zhi Ding - Modern Digital and Analog Communication Systems-Oxford University Press (2009)

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300 SAMPLING AND ANALOG-TO-DIGITAL CONVERSION

Figure 6.33

(a) Conventional

delta modulator.

(b) I:-

modulator.

(c) Simpler I:-

modulator.

Comparator

Integrator

Sampler

& pulse

generator

Integrator

n n n n

_JLJ LJ U I

L2J

Receiver

Transmitter

(a)

Integrator

Comparator

Sampler

& pulse

generator

_J7J7f7

. .

Integrator

Receiver

Transmitter

(b)

m(t)

+

-----I

Integrator

Comparator

Sampler

& pulse

generator

_Jlflf7

--

Receiver

Transmitter

(c)

Adaptive Delta Modulation (ADM)

The DM discussed so far suffers from one serious disadvantage. The dynamic range of amplitudes

is too small because of the threshold and overload effects discussed earlier. To address

this problem, some type of signal compression is necessary. In DM, a suitable method appears

to be the adaptation of the step value E according to the level of the input signal derivative.

For example, in Fig. 6.31, when the signal m(t) is falling rapidly, slope overload occurs. If we

can increase the step size during this period, the overload could be avoided. On the other hand,

if the slope of m(t) is small, a reduction of step size will reduce the threshold level as well as

the granular noise. The slope overload causes d q

[k] to have several pulses of the same polarity

in succession. This calls for increased step size. Similarly, pulses in d q

[k l alternating continuously

in polarity indicates small-amplitude variations, requiring a reduction in step size. In

ADM we detect such pulse patterns and automatically adjust the step size. 14 This results in a

much larger dynamic range for DM.

6.8 VOCODERS AND VIDEO COMPRESSION

PCM, DPCM, ADPCM, DM, and l;-D.M are all examples of what are known as waveform

source encoders. Basically, waveform encoders do not take into consideration how the signals

for digitization are generated. Hence, the amount of compression achievable by waveform

encoders is highly limited by the degree of correlation between successive signal samples.

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