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

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298 SAMPLING AND ANALOG-TO-DIGITAL CONVERSION

that is, if m(t) is too high, m q

(t) cannot follow m(t), and overloading occurs. This is the

so-called slope overload, which gives rise to the slope overload noise. This noise is one

of the basic limiting factors in the performance of DM. We should expect slope overload

rather than amplitude overload in DM, because DM basically carries the information about

m(t). The granular nature of the output signal gives rise to the granular noise similar to the

quantization noise. The slope overload noise can be reduced by increasing E (the step size).

This unfortunately increases the granular noise. There is an optimum value of E, which yields

the best compromise giving the minimum overall noise. This optimum value of E depends on

the sampling frequency fs and the nature of the signal. 1 2

The slope overload occurs when m q

(t) cannot follow m(t). During the sampling interval

T s , nz q

(t) is capable of changing by E, where Eis the height of the step. Hence, the maximum

slope that m q

(t) can follow is E /T s , or Efs, where J; is the sampling frequency. Hence, no

overload occurs if

lm(t)I < Efs

Consider the case of tone modulation (meaning a sinusoidal message):

The condition for no overload is

m(t) = A cos wt

lm(t)lmax = wA < Ej (6.50)

Hence, the maximum amplitude A max of this signal that can be tolerated without overload is

given by

Efs

Amax = -

(JJ

(6.51)

The overload amplitude of the modulating signal is inversely proportional to the frequency

w. For higher modulating frequencies, the overload occurs for smaller amplitudes. For voice

signals, which contain all frequency components up to (say) 4 kHz, calculating Amax by using

w = 2rr x 4000 in Eq. (6.51) will give an overly conservative value. It has been shown by de

Jager 1 3 that Amax for voice signals can be calculated by using Wr ::::: 2rr x 800 in Eq. ( 6.51 ),

Efs

[AmaxJvoice '.:::'. - w,

(6.52)

Thus, the maximum voice signal amplitude Amax that can be used without causing slope

overload in DM is the same as the maximum amplitude of a sinusoidal signal of reference

frequency fr <f r ::::: 800 Hz) that can be used without causing slope overload in the same system.

Fortunately, the voice spectrum (as well as the television video signal) also decays with

frequency and closely follows the overload characteristics ( curve c, Fig. 6.32). For this reason,

DM is well suited for voice (and television) signals. Actually, the voice signal spectrum (curve

b) decreases as 1 / w up to 2000 Hz, and beyond this frequency, it decreases as 1 / w 2 . If we

had used a double integration in the feedback circuit instead of a single integration, Amax in

Eq. (6.51 ) would be proportional to 1/w 2 . Hence, a better match between the voice spectrum

and the overload characteristics is achieved by using a single integration up to 2000 Hz and

a double integration beyond 2000 Hz. Such a circuit (the double integration) responds fast

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