4 2 Digital Transmission Outlines Pulse Modulation Part

4. 2 Digital Transmission Outlines □ □ Pulse Modulation (Part 2. 1) Pulse Code Modulation (Part 2. 2) Delta Modulation (Part 2. 3) Line Codes (Part 2. 4)

Example 4. 2 For a PCM system with a maximum audio input frequency 4 k. Hz determine the minimum sample rate and the alias frequency produced if a 5 k. Hz audio signal were allowed to enter the sampleand-hold circuit. Solution: Using Nyquist’s sampling theorem , we have fs ≥ 2 fm therefore, fs ≥ 8 k. Hz If a 5 k. Hz audio frequency entered the sample-and-hold circuit, the output spectrum shown in Figure 4. 4 is produced. It can be seen that the 5 k. Hz signal produces an alias frequency of 3 k. Hz that has been introduced into the original audio spectrum.

Basic scheme of PCM system Quantization Error Companding Block diagram & function of TDM-PCM communication system

Basic scheme of PCM system The most common technique for using digital signals to encode analog data is PCM. Example: To transfer analog voice signals off a local loop to digital end office within the phone system, one uses a codec.

Cont’d. . . Because voice data limited to frequencies below 4000 Hz, a codec makes 8000 samples/sec. (i. e. , 125 microsecond/sample). If a signal is sampled at regular intervals at a rate higher than twice the highest signal frequency, the samples contain all the information of the original signal.

PCM Block Diagram • Most common form of analog to digital modulation • Four step process 1. Signal is sampled using PAM (Sample) 2. Integer values assigned to signal (PAM) 3. Values converted to binary (Quantized) 4. Signal is digitally encoded for transmission (Encoded)

4 Steps Process

Cont’d… Analog signal is sampled. Converted to discrete-time continuous-amplitude signal (Pulse Amplitude Modulation) Pulses are quantized and assigned a digital value. ◦ A 7 -bit sample allows 128 quantizing levels. PCM uses non-linear encoding, i. e. , amplitude spacing of levels is non-linear ◦ There is a greater number of quantizing steps for low amplitude ◦ This reduces overall signal distortion. This introduces quantizing error (or noise). PCM pulses are then encoded into a digital bit stream. 8000 samples/sec x 7 bits/sample = 56 Kbps for a single voice channel.

PCM Example

Quantization A process of converting an infinite number of possibilities to a finite number of conditions (rounding off the amplitudes of flattop samples to a manageable number of levels). For example, a sine wave with a peak amplitude of 5 V varies between +5 V and -5 V passing through every possible amplitudes in between. A PCM code could have only eight bits, or 256 combinations. To convert samples of a sine wave to PCM requires some rounding off. With quantization, the total voltage range is subdivided into a smaller number of subranges, as shown in Table 4. 1

Table 4. 2 : 3 bit PCM code

Cont’d… q The quantization interval @ quantum : the magnitude difference between adjacent steps. q The resolution : ü the magnitude of a quantum ü the voltage of the minimum step size. ü The smaller the magnitude of the minimum step size, the better (smaller) the resolution and the more accurately the quantization interval will resemble the actual analog sample. q The quantization error ü the quantization noise ü maximum quantization error = ½ quantum ü (orig. sample voltage – quantize level) q PCM code can be determined by : sample voltage/resolution, convert the quotient to an-n bit binary code, then add sign bit.

Cont’d. . . Analog input signal Sample pulse PAM signal PCM code Figure 4. 2. 1

Cont’d Ø 1 st sample (occurs at t 1) : § Input voltage=+2 V. PCM code = 110 § No quantization error Ø 2 nd sample (occurs at t 2) : § input voltage=-1 V. § PCM code = 001 § No quantization error § Ø 3 rd sample (occurs at t 3): § Input voltage=+2. 6 V § Since no PCM code for +2. 6 V, magnitude of sample is rounded off to the nearest amplitude, +3 V § PCM code = 111 § Quantization error = 0. 4 V

Example 4. 2. 2 For the PCM coding scheme in Figure 4. 2. 1, determine the quantized voltage, quantization error(Qe), and PCM code for the analog sample voltage of +1. 07 V. Solution: a) Quantized level=sample voltage/resolution = +1. 07/1 = 1. 07 = 1 V (rounded off to the nearest quantization level) b) Quantization error = original sample voltage – quantized level = 1. 07 – 1=0. 07 c) PCM code for +1=101

QUANTIZATION ERROR A difference between the exact value of the analog signal & the nearest quantization level.

Types of Quantization Midtread Midrise

Types of Quantizer 1. Uniform type : The levels of the quantized amplitude are uniformly spaced. 2. Non-uniform type : The levels are not uniform.

Dynamic Range (DR) Ratio of the largest possible magnitude/smallest possible magnitude (other than 0 V) that can be decoded by DAC in receiver. In d. B: Where DR = absolute value of dynamic range Vmax = the maximum voltage magnitude Vmin = the quantum value (resolution) n = number of bits in the PCM code

The number of bits used for a PCM code depends on dynamic range. For a minimum number of bits: where bit) n=number of bits in a PCM code(excluding sign DR=absolute value of dynamic range

Example 4. 2. 3 For a PCM system with following parameters : Maximum analog input frequency = 4 k. Hz Maximum decoded voltage at receiver =± 2. 55 V Minimum dynamic range = 46 d. B Determine: a) Minimum sample rate b) Minimum number of bits used in PCM code c) d) Resolution Quantization error Solution : a) Minimum sample rate, fs

b) Dynamic range (absolute value): Minimum no. of bits, n: c) Since amplitude range is ± 2. 55 V, one additional bit (sign bit is required. Total number of bits =9 bits. Resolution:

a) Maximum quantization error:

Example 1 Calculate the dynamic range for a linear PCM system using 16 -bit quantizing. 2. Calculate the number of bits in PCM code if the DR = 192. 6 d. B 1.

Coding Efficiency A numerical indication of how efficiently a PCM code is utilized. The ratio of the minimum number of bits required to achieve a certain dynamic range to the actual number of PCM bits used.

Signal to Quantization Noise Ratio (SQR) The worst possible SQR occurs when the input signal is at its minimum amplitude (101 or 001). The worst-case voltage SQR For PCM code shown in Figure 4. 2. 1 : SQR for a maximum input signal

For a maximum amplitude input signal of 3 V; The signal power-to-quantizing noise power ratio Where R =resistance (ohm) v = rms signal voltage q = quantization interval = average signal power (W)

Example 2 1. 2. Calculate the SQR (d. B) if the input signal = 2 Vrms and the quantization noise magnitudes = 0. 02 V. Determine the voltage of the input signals if the SQR = 36. 82 d. B and q =0. 2 V.

Effect of Non-Linear Coding

Nonlinear Encoding Quantization levels not evenly spaced. The step size increases with the amplitude of the input signal. Reduces Can overall signal distortion also be done by companding

Companding • The process of compressing and then expanding. • The higher amplitude analog signals are compressed (amplified less lower than amplitude signals) transmission prior to and tude lower expanded(amplified than then more receiver). • Improving the DR of a communication system.

Companding Functions

Method of Companding For the compression, two laws are adopted: the -law in US and Japan and the A-law in Europe. -law A-law Vmax= Max uncompressed analog input voltage Vin= amplitude of the input signal at a particular of instant time Vout= compressed output amplitude A, = parameter define the amount of compression The typical values used in practice are: =255 and A=87. 6. After quantization the different quantized levels have to be represented in a form suitable for transmission. This is done via an encoding process.

Example 3 A companding system with µ = 255 used to compand from 0 V to 15 V sinusoid signal. Draw the characteristic of the typical system. Draw an 8 level non-uniform quantizer characteristic that corresponds to the mentioned µ.

Cont’d. . . μ-law A-law

PCM Line Speed The data rate at which serial PCM bits are clocked out of the PCM encoder onto the transmission line. Where Line speed = the transmission rate in bits per second Sample/second = sample rate, fs Bits/sample = no of bits in the compressed PCM code

Example 4 For a single PCM system with a sample rate fs = 6000 samples per second a 7 bits compressed PCM code, calculate the line speed.

Virtues & Limitation of PCM The most important advantages of PCM are: ◦ Robustness to channel noise and interference. ◦ Efficient regeneration of the coded signal along the channel path. ◦ Efficient exchange between BT and SNR. ◦ Uniformat for different kind of base-band signals. ◦ Flexible TDM.

Cont’d… ◦ Secure communication through the use of special modulation schemes of encryption. ◦ These advantages are obtained at the cost of more complexity and increased BT. ◦ With cost-effective implementations, the cost issue no longer a problem of concern. ◦ With the availability of wide-band communication channels and the use of sophisticated data compression techniques, the large bandwidth is not a serious problem.

Time-Division Multiplexing This technique combines time-domain samples from different message signals (sampled at the same rate) and transmits them together across the same channel. The multiplexing is performed using a commutator (switch). At the receiver a decommutator (switch) is used in synchronism with the commutator to demultiplex the data.

Cont’d… TDM system is very sensitive to symbol dispersion, that is, to variation of amplitude with frequency or lack of proportionality of phase with frequency. This problem may be solved through equalization of both magnitude and phase. One of the methods used to synchronize the operations of multiplexing and demultiplexing is to organize the multiplexed stream of data as frames with a special pattern. The pattern is known to the receiver and can be detected very easily.

Block diagram of TDM-PCM communication system

An audio signal with a frequency from 4 k. Hz to 8 k. Hz and a peak to peak voltage of 25. 5 V is being sampled at a rate of 10% higher than minimum sampling frequency of Nyquist rate. A sampled signal is then being quantized with minimum step size of 0. 1 V. Determine the : i) sampling frequency used, ii) quantization level used, iii) no. of bits used to encode the signal, and iv) quantization noise

END OF PART 2. 2