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198<br />

Baseband Pulse and Digital Signaling Chap. 3<br />

In the second DPCM configuration, shown in Fig. 3–30, the predictor operates on<br />

quantized values at the transmitter as well as at the receiver in order to minimize the quantization<br />

noise on the recovered analog signal. The analog output at the receiver is the same as the input<br />

analog signal at the transmitter, except for quantizing noise; furthermore, the quantizing noise<br />

does not accumulate, as was the case in the first configuration.<br />

It can be shown that DPCM, like PCM, follows the 6-dB rule [Jayant and Noll, 1984]<br />

a S N b = 6.02n + a<br />

dB<br />

(3–80a)<br />

where<br />

-3 6 a 6 15 for DPCM speech<br />

(3–80b)<br />

and n is the number of quantizing bits (M = 2 n ). Unlike companded PCM, the a for<br />

DPCM varies over a wide range, depending on the properties of the input analog signal.<br />

Equation (3–80b) gives the range of a for voice-frequency (300 to 3,400 Hz) telephonequality<br />

speech. This DPCM performance may be compared with that for PCM. Equation<br />

(3–26b) indicates that a =-10 dB for µ-law companded PCM with µ = 255. Thus, there<br />

may be an SNR improvement as large as 25 dB when DPCM is used instead of µ = 255<br />

PCM. Alternatively, for the same SNR, DPCM could require 3 or 4 fewer bits per sample<br />

than companded PCM. This is why telephone DPCM systems often operate at a bit rate<br />

of R = 32 kbitss or R = 24 kbitss, instead of the standard 64 kbitss needed for<br />

companded PCM.<br />

The CCITT has adopted a 32-kbitss DPCM standard that uses 4-bit quantization at an<br />

8-ksamples rate for encoding 3.2-kHz bandwidth VF signals [Decina and Modena, 1988].<br />

Moreover, a 64-kbitss DPCM CCITT standard (4-bit quantization and 16 ksampless) has<br />

been adopted for encoding audio signals that have a 7-kHz bandwidth. A detailed analysis of<br />

DPCM systems is difficult and depends on the type of input signal present, the sample rate,<br />

the number of quantizing levels used, the number of stages in the prediction filter, and the predictor<br />

gain coefficients. This type of analysis is beyond the scope of this text, but for further<br />

study, the reader is referred to published work on the topic [O’Neal, 1966b; Jayant, 1974;<br />

Flanagan et al., 1979; Jayant and Noll, 1984 ].<br />

3–8 DELTA MODULATION<br />

From a block diagram point of view, delta modulation (DM) is a special case of DPCM in<br />

which there are two quantizing levels. As shown in Fig. 3–30, for the case of M = 2, the quantized<br />

DPAM signal is binary, and the encoder is not needed because the function of the<br />

encoder is to convert the multilevel DPAM signal to binary code words. For the case of M = 2,<br />

the DPAM signal is a DPCM signal where the code words are one bit long. The cost of a DM<br />

system is less than that of a DPCM system (M > 2) because the analog-to-digital converter<br />

(ADC) and digital-to-analog converter (DAC) are not needed. This is the main attraction of<br />

the DM scheme—it is relatively inexpensive. In fact, the cost may be further reduced by<br />

replacing the predictor by a low-cost integration circuit (such as an RC low-pass filter), as<br />

shown in Fig. 3–31.

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