CHAPTER 3 Syllabus (2006 scheme syllabus) Differential pulse code modulation DPCM transmitter

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1 CHAPTER 3 Syllabus 1) DPCM 2) DM 3) Base band shaping for data tranmission 4) Discrete PAM signals 5) Power spectra of discrete PAM signal. 6) Applications (2006 scheme syllabus) Differential pulse code modulation When a voice or video signals is sampled slightly higher than nyquist rate, The resulting signal exhibits high correlation between the adjacent samples i.e. the signal doesn t change rapidly from one sample to the next. When these highly correlated samples are encoded the resulting encoded signal carries redundant information. By removing this redundancy before encoding, we obtain a more efficient coded signal. IF past behavior of the signal is known, to certain point of time, it is possible to make some inference about the future values such a process iss known as prediction. DPCM transmitter Let x(nt s ) be sampled signal from figure we can write n s n s (1) Where n s is the difference between unquantized input sample and a prediction of it n s By encoding the quantizer output we obtain PCM, which is known as DPCM. 1

2 The quantizer output may be expressed as n s n s (2) The quantizer output n s is added to the predicted value n s to produce prediction filter output n s n s (3) Substituting (2) in (3) n s n s n s (4) However from equation (1) we observe that the sum term n s +, is equal to input signal. Therefore equation (4) maybe written as n s n s (5) The quantized signal n s at the predictor input differs from the original signal by the quantization error. Accordingly if prediction is good, the variance of the prediction error will be smaller than. So that a quantizer with a given number of representation levels can be adjusted to produce a quantization error with less variance than input signals. DPCM receiver The decoder reconstructs the quantized error signal, and there by the original signal is reconstructed by summing up the decoder output and the predictor output. The output differs from the original input by quantization error in the absence of channel noise. Prediction gain: The output signal to noise ratio is given by: 2

3 We may write above expression as: Where. For a given baseband signal is fixed so that G p is maximized by lowering accordingly our objective is to minimize. Delta modulation In delta modulation, an incoming signal is over sampled (at a rate much higher than the nyquist rate) to purposely increase the correlation between the adjacent samples of the signal. Delta modulation provides stair approximation to the oversampled version of the message signal. The difference between the input and the approximation is quantized in to two levels via. i.e. if appro imation falls below the signal it is increased by, on the other hand it is decreased by DM transmitter: The blockdiagram is as shown 3

4 The error between the sampled value and last approximated sample is given by n s n s (1) Let n s be the present sample approximation of staircase output From figure we have n s) n- ) s n s) n s - s ) (2) Substituting (2) in (1) we obtain n s n s - s ) (3) also we have, n s n s s ) The binary b n s ) is the algebraic sign of the error e n s ), e cept for the scaling factor δ. b n s ) δ n s ] (4) i.e. the sampled version of incoming message signal to a modulator that involves comparator, quantizer, and accumulator interconnected as shown in the figure. The comparator compiles the difference between its two inputs. The quantizer consists of a hard limiter with input output relation that is scaled version of the signum function DM receiver The receiver is as shown in the figure the staircase approximation U(t) is reconstructed by passing the sequence of positive and negative pulses through an accumulator in a manner similar to that used in a transmitter. The output of band signal is removed by passing it through a LPF. 4

5 Quantization noise Delta modulation is subjected to two types of errors 1) Slope overload error When stair approximation cannot follow the input signal x(t) with result u(t) falls behind x(t) as shown in the figure, this condition is called slope overload error. To reduce this error, the step size should be increased when slope of the signal x(t) is high. i.e. 2) Granular noise The granular noise occurs when step size is too large compared to small variations of input signal as shown in the figure Let Q(nT s ) denote the quantization error we may write n s n s ) We also have n s n s s ) n s s ) ] Where n s - s ) - digital approximation to the derivative of the input signal. Adaptive delta modulation (not in syllabus) The performance of delta modulator can be improved by making the step size of the modulator a time varying form i.e. for a steep segment of input signal the step size is increased, conversely when input signal is varying slowly the step size is reduced. In this way the stepsize is adapted to the level of the input signal. 5

6 The step sizes is constrained to lie between two limits The upper limit controls slope overload distortion the lower limit controls the amount of granular noise. The adaptation for is expressed as Where depends on the present binary output and M previous values. he algorithm is initiated with a starting step size The receiver of ADM is as shown in the figure: In the receiver the 1 st part generates step size from each incoming bit which is variable in size. The previous input and present input decides the step size. The LPF then smoothens out the staircase waveform to reconstruct the smooth signal. 6

7 Discrete PAM signals Line coding There are several line codes that can be used for the electrical representation of binary symbols 1 and 0 as described I) Unipolar format or on off signaling: In unipolar format, symbol 1 is represented by transmitting a pulse where as symbol 0 is represented by switching off the pulse. i) Unipolar NRZ format: When the pulse occupies the full duration off the symbol, then the unipolar format is said to be of non return to zero format. In this scheme signals are represented as: ii) Unipolar RZ format: When the pulse occupies the one half of the symbol duration, then the unipolar format is said to be of return to zero format. In this scheme signals are represented as: 0 for symbol 1 for 7

8 2) Polar format In polar format, symbol 1 is represented by transmitting a positive pulse where as symbol 0 is represented by the negative pulse. i) Polar NRZ format: When the pulse occupies the full duration off the symbol, then the polar format is said to be of non return to zero format. In this scheme signals are represented as: ii)polar RZ format: When the pulse occupies the one half of the symbol duration, then the polar format is said to be of return to zero format. In this scheme signals are represented as: 0 for symbol 1 for 0 for symbol 1 for 8

9 3) Bipolar format In bipolar format, positive pulse and negative pulses are used alternatively for transmission of 1 s and no pulse for symbol 0. i) Bipolar NRZ format: When the pulse occupies the full duration off the symbol, then the bipolar format is said to be of non return to zero format. In this scheme signals are represented as: ii) BiPolar RZ format: When the pulse occupies the one half of the symbol duration, then the bipolar format is said to be of return to zero format. In this scheme signals are represented as: 0 for symbol 1 for 9

10 4) Manchester format or biphase baseband signaling Symbol 1 is represented by a positive pulse for one half of the symbol duration, followed by negative pulse for the remaining half of the symbol duration. Symbol 0 is represented by a negative pulse for one half of symbol duration, followed by positive pulse for the remaining half of the symbol duration. 5) Polar quaternary NRZ 1. Natural code: It has four distinct symbols of dibits (pair of bits) i.e. four possible combination 00,01,10,11 to these four combination, four different amplitude levels are assigned as shown in the table Message combination Signal amplitude This system is designed to reduce the signaling rate and hence the bandwidth, thus for two messages bits only one pulse is transmitted. 10

11 2. Gray coding: It s a type of coding in which the adjacent bits are arranged in such a way that they differ by only one bit. Power spectral density The spectral density of wave when multiplied by the appropriate factor will give the power carried by the wave per unit frequency. Power spectral density of discrete PAM signal: 1) The PSD of discrete PAM signal is given by ] 2) Autocorrelation function is given by: ] 3) V(f) is a basic pulse having unit amplitude and duration T b given as [For unipolar format, polar and bipolar format] [For Manchester format] 11

12 1) Power spectral density of NRZ unipolar format In this scheme signals are represented as: Let us assume that symbol 1 and 0 occur with equal probabilities, We know that Autocorrelation function is given by: ] Case i) for n = 0 ] ] = Case i) for n 0 and will have four probabilities with probabilities ¼ each. Equally probable ¼ 0 a 0 ¼ a 0 0 ¼ a a a 2 ¼ = = 12

13 Thus we may express the auto correlation function as { We have The PSD of unipolar format is given by ] Substituting the value of V(f) and in above equation we have ] [ ] ]] ] [ ] ]] ] [ ] ] ] [ ]] ] [ ]] ] From poisson formula ] Hence 13

14 We have 2) Power spectral density of NRZ polar format In this scheme signals are represented as: Let us assume that symbol 1 and 0 occur with equal probabilities, We know that Autocorrelation function is given by: ] Case i) for n = 0 ] ] = Case i) for n 0 and will have four probabilities with probabilities ¼ each. Equally probable -a -a a 2 ¼ 0 a -a 2 ¼ a 0 -a 2 ¼ a a a 2 ¼ 14

15 = = 0 Thus we may express the auto correlation function as { We have The PSD of unipolar format is given by ] Substituting the value of V(f) and in above equation we have ] [ ] ]] ] ]] 3) Power spectral density of NRZ bi - polar format In this scheme signals are represented as: Let us assume that symbol 1 and 0 occur with equal probabilities, We know that Autocorrelation function is given by: ] 15

16 Case i) for n = 0 ] ] = Case i) for n and will have four probabilities with probabilities ¼ each. Equally probable ¼ 0 a 0 ¼ a 0 0 ¼ a a -a 2 ¼ = = Similarly for = Case i) for n = = 0 16

17 Thus we may express the auto correlation function as { We have The PSD of unipolar format is given by ] Substituting the value of V(f) and in above equation we have ] [ ] ] ]] ] ]] W.K.T ] ]] ] ] [ ] ] ] 17

18 4) Power spectral density of Manchester format In this scheme signals are represented as: Let us assume that symbol 1 and 0 occur with equal probabilities, We know that Autocorrelation function is given by: ] Case i) for n = 0 ] ] = Case i) for n 0 and will have four probabilities with probabilities ¼ each. Equally probable 0 0 -a2 ¼ 0 1 -a 2 ¼ 1 -a2 ¼ a 2 ¼ = = 0 18

19 Thus we may express the auto correlation function as { We have The PSD of unipolar format is given by ] Substituting the value of V(f) and in above equation we have [ ] ] ] ] Applications Digital multiplexer: Digital Multiplexers are used to combine digitized voice and video signals as well as digital data into one data stream. The digitized voice signals, digitized facsimile and television signals and computer outputs are of different rates but using multiplexers it combined into a single data stream. 19

20 Two Major groups of Digital Multiplexers: 1. To combine relatively Low-Speed Digital signals used for voice-grade channels. Modems are required for the implementation of this scheme. 2. Operates at higher bit rates for communication carriers. Basic Problems associated with Multiplexers: 1. Synchronization. 2. Multiplexed signal should include Framing. 3. Multiplexer Should be capable handling Small variations. Digital Hierarchy based on T1 carrier This was developed by Bell system. The T1 carrier is designed to operate at mega bits per second, the T2 at megabits per second, the T3 at megabits per second, and the T4 at mega bits per second. This system is made up of various combinations of lower order T-carrier subsystems. This system is designed to accommodate the transmission of voice signals, Picture phone service and television signals by using PCM and digital signals from data terminal equipment. The structure is shown in the figure The T1 carrier system has been adopted in USA, Canada and Japan. It is designed to accommodate 24 voice signals. The voice signals are filtered with low pass filter having cutoff of 3400 Hz. The filtered signals are sampled at 8KHz. he μ-law Companding technique is used with the constant μ = 255. With the sampling rate of 8KHz, each frame of the multiplexed signal occupies a period 20

21 of 125μsec. It consists of 24 8-bit words plus a single bit that is added at the end of the frame for the purpose of synchronization. Hence each frame consists of a total 193 bits. Each frame is of duration 125μsec, correspondingly, the bit rate is mega bits per second. Light Wave Transmission Optical fiber wave guides are very useful as transmission medium. They have a very low transmission losses and high bandwidths which is essential for high-speed communications. Other advantages include small size, light weight and immunity to electromagnetic interference. The basic optical fiber link is shown in the figure The binary data fed into the transmitter input, which emits the pulses of optical power., with each pulse being on or off in accordance with the input data. The choice of the light source determines the optical signal power available for transmission. The on-off light pulses produced by the transmitter are launched into the optical fiber wave guide. During the course of the propagation the light pulse suffers loss or attenuation that increases exponentially with the distance. At the receiver the original input data are regenerated by performing three basic operations which are: 1. Detection: the light pulses are converted back into pulses of electrical current. 2. Pulse Shaping and Timing: This involves amplification, filtering and equalization of the electrical pulses, as well as the extraction of timing information. 3. Decision Making: Depending the pulse received it should be decided that the received pulse is on or off. 21

EEE 309 Communication Theory

EEE 309 Communication Theory Semester: January 2017 Dr. Md. Farhad Hossain Associate Professor Department of EEE, BUET Email: mfarhadhossain@eee.buet.ac.bd Office: ECE 331, ECE Building Types of Modulation