Communications Systems-
1
          UNIT-V
                          1
     Digital Communication Systems
                           Transmitter
           A/D       Source       Channel
Source                                       Modulator
         converter   encoder      encoder
         Absent if
         source is                          Noise        Channel
          digital
           D/A       Source       Channel
 User                                         Detector
         converter   decoder      decoder
                           Receiver
                                                               2
       Topics to be Covered
Analog signal
        Sampling
                  Discrete-time continuous-valued signal
       Quantization
                 Discrete-time discrete-valued signal
        Encoding
                Bit mapping
                         Pulse Code        Digital transmission
                         Modulation
                                                             3
                         Sampling Process
                     ∞                                ∞
        xδ (t ) =   ∑       x (nTs )δ (t − nTs ) = x (t )∑ δ (t − nT
                                                                   s )
                    n =−∞                            n =−∞
The sampling process can be regarded a modulation process with
carrier given by periodic impulses. It’s also called pulse modulation
                                                                         5
                              Sampling Process
                                             ∞                            ∞
                                        1                  n        1
                Xδ ( f ) = X ( f ) ∗
                                    Ts
                                            ∑    δ   f −
                                                           Ts
                                                                =
                                                                    Ts
                                                                         ∑       X    f −n
                                                                                         Ts
                                            n =−∞                        n =−∞
                                                                                      X(f )
                1
. If     fs =        < 2W   or Ts > 1
                T                  2W
                 s                                                               -W     W                f
       aliasing error, reconstruction is not
       possible,                                                                       Xδ ( f )
                                                                           -1/Ts       1/Ts                  f
. The minimum sampling rate is known
                                                                                       Xδ ( f )
   as Nyquist sampling rate
                                                                     -1/Ts                        1/Ts       f
                                                                                                         6
                  Reconstruction
. LPF with frequency response
                          Ts   f <W
               H( f ) =              1
                          0    f ≥        −W
                                     Ts
. Ideal LPF
       where
                                               7
                   Reconstruction
. With this choice, we have
                                    8
       Topics to be Covered
Analog signal
        Sampling
                  Discrete-time continuous-valued signal
       Quantization
                 Discrete-time discrete-valued signal
        Encoding
                Bit mapping
                         Pulse Code        Digital transmission
                         Modulation
                                                             9
           Quantization
sampling
               quantization
               (rounding)
                              10
    Quantization
Quantization is a non linear transformation which
maps elements from a continuous set to a f inite
set. It is also the second step required by A/D
conversion.
    Classification of Quantization
              Process
           Quantization
  Uniform              Non-Uniform
Quantization           Quantization
Midtread Type      Midrise type
Uniform Quantizer:
A Uniform quantizer is a type of quantizer in
wh ich th e s tep s ize remain s con s tan t
through out the input range.
Non-Uniform Quantizer:
A Uniform quantizer is a type of quantizer in
which the step size varies according to the
input signal values
Types of Uniform Quantizer:
1.Symmetric quantizer of Midtread type
2.Symmetric quantizer of Midrise type
In the input-output characteristics of midtread type the
origin lies in the middle of a tread of staircase like
graph.
In the input-output characteristics of midrise type the
origin lies in the middle of rising part of staircase like
graph.
          Pulse Code Modulation
 Pulse-code modulation or PCM is known as a digital pulse modulation
  technique .
 In PCM an analog signal or information is converted into a binary
  sequence, i.e.,’ 1’s and ‘0’s. The output of a PCM resembles a binary
  sequence.
 PCM produces a series of numbers or digits instead of a pulse train. In
  Pulse Code Modulat ion, t he m essage signal is represent ed by a
  sequence of coded pulses.
PCM produces a series of numbers or digits instead of a pulse train.
Elements of a PCM System
It consists of three main parts
i.e. ,
1. Transmitter
2. Transmission path
3. Receiver
PCM Transmitter
PCM Transmission Path
           Regenerative Repeater
 The re pe at e r s pe r for m t hre e basic ope rat ions such as :
  quantization, timing and decision making.
 The amplitude quantizer shapes the distorted PCM wave so as
  t o com pe nsa t e f or t h e e f fe ct s of a m pl i t ude a nd ph a se
  distortions. The timing circuit produces a periodic pulse train
  which is derived from the input PCM pulses.
 The decision device makes a decision about whether the
  equalized PCM wave at its input has 0 value or 1 value at the
  instant of sampling.
PCM Receiver
         Problems on PCM
1.A Television signal having a B.W of 4.2MHz
   is transmitted using binary PCM system.
   Given that the no.of quantization levels is
   512.Determine
(i) Code word length
(ii) Transmission B.W
(iii) Final Bit rate
(iv) Output signal to quantization noise ratio
2. The information in an analog signal voltage
waveform is to be transmitted over a PCM system
with an accuracy of ±0.1%(Full scale).The analog
voltage waveform has a B.W of 100 Hz and
amplitude range of -10 to +10 volts.
(i)Find the minimum sampling rate required
(ii) Find the no.of bits in each PCM word
(iii) Find minimum bit rate required in the PCM
   signal
(iv) Find the minimum absolute channel bandwidth
   required for the transmission of the PCM signal.
3. The B.W of an input signal to the PCM is restricted
to 4 KHz. The input signal varies in amplitude from
-3.8 v to +3.8v and has the average power of
30mw.The required signal to noise ratio is given as
20 dB. The PCM modulator produces binary output.
Assuming uniform quantization,
(i)Find the no.of bits required per sample.
(ii)Output of 30 such PCM coders are time
multiplexed. What would be the the minimum
required transmission bandwidth for this multiplexed
signal
4. A PCM system uses an uniform quantizer
followed by a 7-bit binary encoder. The bit
rate of the system is equal to 50 x 106
bits/sec.
(i) What is the maximum message signal B.W
   for which the system operates satisfactorily?
(ii) Calculate the output signal to quantization
   noise ratio when a full load sinusoidal
   modulating wave of frequency 1MHz is
   applied to the input.
5. The information in an analog waveform with
maximum frequency fm =3KHz is to be transmitted
over an M-level PCM system where the no.of
quantization levels is M=16.The quantization
distortion is specified not to exceed 1% of peak to
peak analog signal.
(i)What would be the maximum no.of bits per
   sample that should be used in this PCM system?
(ii) What is the minimum sampling rate & what is
   the resulting bit transmission rate?
6. Consider an audio signal consisting of the
sinusoidal term given as x(t)=3 cos(500πt).
(i) Determine the signal to quantization noise ratio
     when this is quantized using 10 bit PCM.
(ii) How many bits of quantization are needed to
     achieve a signal to quantization noise ratio of
     atleast 40 dB.
7.A signal having B.W equal to 3.5kHz is sampled ,
quantized and coded by a PCM system. The coded
signal is then transmitted over a transmission
channel of supporting a transmission rate of 50k
bit/s. Determine the maximum signal to noise ratio
that can be obtained by the system. The input
signal has peak to peak value of 4v and rms value
of 0.2v.
8.A telephone signal bandlimited to 4 kHz is to be
transmitted by PCM. The signal to quantization
noise is at least 40 dB for the sinusoidal input. Find
the no. of levels into which the signal is to be
encoded. Find the B.W required for the transmission.
9. A signal m1 is bandlimited to 5 kHz and 3 other
signals m2,m3,m4 each bandlimited to 4 kHz are
time multiplexed and fed to PCM encoder having
1024 quantization levels. Find the bit rate of PCM
and also B.W required for transmission.
Differential pulse code
 Modulation (DPCM)
Differential pulse code Modulation (DPCM)
DPCM Transmitter
DPCM Receiver
Delta Modulation (DM)
   Delta Modulation (DM)
Delta Modulation transmits only one bit per
 sample.
The Present sample value is compared with the
 previous sample value.
Input signal is approximated to step signal. This
 step size is kept fixed.
The difference between input signal x(t) and
 stair case approximated signal is conf ined to
 two levels. i.e +Δ and -Δ
 If step is increased ,’1’ is transmitted
  If step is reduced ,’0’ is transmitted.
Delta Modulation (DM)
   Delta Modulation Transmitter
   sampled
                                        b
b (nTs) = +Δ if x(nTs) ≥ x^(nTs)
         - Δ if x(nTs) < x^(nTs)
b (nTs) = +Δ then ‘1’ is transmitted
         - Δ then ‘0’ is transmitted.
     Delta Modulation Transmitter
The summer in accumulator adds quantizer output
with previous sample approximation. This gives the
present sample approximation i.e,
                  u(nTs)=u[(n-1)Ts]+[±Δ]
                           (or)
                 u(nTs)=u[(n-1)Ts]+b(nTs)
Thus, depending on the sign of e(nTs),one bit
quantizer generates an output of +Δ or –Δ.
If step size is +Δ,then binary ‘1’ is transmitted.
If step size is -Δ,then binary ‘0’ is transmitted.
        Delta Modulation Receiver
Input
Advantages of Delta Modulation
DM transmits only one bit for one sample, the
 signalling rate and transmission channel bandwidth
 is quite small.
The transmitter and receiver implementation for DM
 is very much simple.
Drawbacks of Delta Modulation
The DM has two major drawbacks
1. Slope overload distortion
2. Granular or Idle Noise.
Drawbacks of Delta
   Modulation
   Slope Overload Distortion
 This distortion arises because of large dynamic range of
  the input signal. The rate of rise of input signal x(t) is so
  high that the staircase signal can not approximate it, the
  step size ‘Δ’ becomes too small for staircase signal u(t) to
  follow the step segment of x(t).
 Hence, there is a large error between the staircase
  approximated signal and the original input signal x(t).
 This error or noise is known as slope overload distortion .
 To reduce this error a large step size is required, when
  slope of signal x(t) is high.
 This can be achieved by using Adaptive Delta Modulation
  Technique.
             Granular Noise
 Granular or Idle noise occurs when the step size is too
  large compared to small variation in the input signal.
 This means that for very small variations in the input
  signal, the staircase signal is changed by large amount (Δ)
  because of large step size.
 Figure shows that when the input signal is almost flat , the
  staircase signal u(t) keeps on oscillating by ±Δ around the
  signal
 The error between the input and approximated signal is
  called granular noise.
 The solution to this problem is to make the step size
                   Solution
 In order to overcome the quantization errors due to slope
  overload and granular noise, the step size (Δ) is made
  adaptive to variations in the input signal x(t).
 Particularly in the steep segment of the signal x(t), the
  step size is increased. And the step is decreased when
  the input is varying slowly.
 This method is known as Adaptive Delta Modulation
  (ADM).
Problems on Delta Modulation
1 .A Delta modulator system is designed to
operate at 5 times the Nyquist rate for a signal
having a bandwidth equal to 3 KHz bandwidth.
Calculate the maximum amplitude of a 2 KHz
input sinusoid for which the delta modulator
does not have slope overload. Given that the
quantizing step size is 250mV.
2. Determine the output signal to noise
ratio of a linear delta modulation system
for a 2 KH z s i n u s oi d al i n p u t s i g n al
s ampled at 64 KHz. Slope overload
dis tor tion is not pres ent & the pos t
reconstruction f ilter has a bandwidth of
4 KHz.
3.A sinusoidal voice signal x(t)= cos
(6000πt) is to be transmitted using either
PCM or DM. The sampling rate for PCM
system is 8 KHz & for the transmission
with DM, the step size is decided to be of
31.25mv.The slope overload distortion is
to be avoided. Assume that the no.of
quantization levels for a PCM system is
64.Detemine the signaling rate of both
the systems.
4. In a DM system, the voice signal is
sampled at a rate of 64,000 samples/sec.
The maximum signal amplitude Amax=1.
(i) Determine minimum value of step
     size to avoid slope overload.
(ii) Determine quantization noise power
     if voice signal bandwidth is 3.5 KHz.
(iii) Assuming voice signal to be a sine
    wave, determine signal power s0 and
    SNR.
5. A DM system is designed to operate at
3 times the Nyquist rate for a signal with
a 3 KHz bandwidth. The quantizing step
size is 250 mV.
(i) Determine the maximum amplitude
     of a 1 KHz input sinusoid for which
     the delta modulator does not show
     slope overload.
(ii) Determine the post f il tered output
     signal to quantizing noise ratio for the
     signal of part (i).
6.In a single integration DM scheme, the
voice signal is sampled at a rate of
64KHz.The maximum signal amplitude
is 1 v olt, v oice s ign al ban dwidth is
3.5KHz.
(i) Determine minimum value of step
     size to avoid slope overload.
(ii) Determine granular Noise N0.
(iii) Assuming signal to be sinusoidal,
     calculate signal power and signal to
     noise ratio.
(iv) A s s u m i n g t h a t n o i s e s i g n a l
     amplitude is uniformly distributed in
Thank you