1 / 20

Chapter 3: Pulse Code Modulation

Chapter 3: Pulse Code Modulation. Pulse Code Modulation Quantizing Encoding Analogue to Digital Conversion Bandwidth of PCM Signals. Huseyin Bilgekul Eeng360 Communication Systems I Department of Electrical and Electronic Engineering Eastern Mediterranean University.

ottog
Télécharger la présentation

Chapter 3: Pulse Code Modulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Chapter 3:Pulse Code Modulation • Pulse Code Modulation • Quantizing • Encoding • Analogue to Digital Conversion • Bandwidth of PCM Signals Huseyin Bilgekul Eeng360 Communication Systems I Department of Electrical and Electronic Engineering Eastern Mediterranean University

  2. PULSE CODE MODULATION (PCM) • DEFINITION: Pulse code modulation (PCM) is essentially analog-to-digital conversion of a special type where the information contained in the instantaneous samples of an analog signal is represented by digital words in a serial bit stream. • The advantages of PCM are: • Relatively inexpensive digital circuitry may be used, • PCM signals derived from all types of analog sources may be merged with data signals and transmitted over a common high-speed digital communication system, • In long-distance digital telephone systems requiring repeaters, a clean PCM waveform can be regenerated at the output of each repeater, where the input consists of a noisy PCM waveform, • The noise performance of a digital system can be superior to that of an analog system, • The probability of error for the system output can be reduced even further by the use of appropriate coding techniques.

  3. Sampling, Quantizing, and Encoding • The PCM signal is generated by carrying out three basic operations: • Sampling • Quantizing • Encoding • Sampling operation generates a flat-top PAM signal. • Quantizing operation approximates the analog values by using a finite number of levels. This operation is considered in 3 steps • Uniform Quantizer • Quantization Error • Quantized PAM signal output • PCM signal is obtained from the quantized PAM signal by encoding each quantized sample value into a digital word.

  4. 111 110 101 100 011 010 001 000 Digital Output Signal 111 111 001 010 011 111 011 Analog to Digital Conversion • The Analog-to-digital Converter (ADC) performs three functions: • Sampling • Makes the signal discrete in time. • If the analog input has a bandwidth of W Hz, then the minimum sample frequency such that the signal can be reconstructed without distortion is 2W or more. • Quantization • Makes the signal discrete in amplitude. • Round off to one of q discrete levels. • Encode • Maps the quantized values to digital words that are bits long. • If the (Nyquist) Sampling Theorem is satisfied, then only quantization introduces distortion to the system. Analog Input Signal Sample ADC Quantize Encode

  5. Quantization • The output of a sampler is still continuous in amplitude. • Each sample can take on any value e.g. 3.752, 0.001, etc. • The number of possible values is infinite. • To transmit as a digital signal we must restrict the number of possible values. • Quantization is the process of “rounding off” a sample according to some rule. • E.g. suppose we must round to the nearest tenth, then: • 3.752 --> 3.8 0.001 --> 0

  6. Illustration of the Quantization Error

  7. PCM TV transmission: • 5-bit resolution; (b) 8-bit resolution.

  8. Dynamic Range: (-8, 8) Output sample XQ 7 5 3 1 -8 -6 8 -4 -2 2 4 6 -1 -3 -5 -7 Quantization Characteristic Uniform Quantization • Most ADC’s use uniform quantizers. • The quantization levels of a uniform quantizer are equally spaced apart. • Uniform quantizers are optimal when the input distribution is uniform. When all values within the Dynamic Range of the quantizer are equally likely. Input sample X Example: Uniform  =3 bit quantizer q=8 and XQ = {1,3,5,7}

  9. Types of Quantization There are two types of Quantization - Uniform Quantization and Non-uniform Quantization. The type of quantization in which the quantization levels are uniformly spaced is termed as a Uniform Quantization. The type of quantization in which the quantization levels are unequal and mostly the relation between them is logarithmic, is termed as a Non-uniform Quantization. There are two types of uniform quantization. They are Mid-Rise type and Mid-Tread type. The following figures represent the two types of uniform quantization.

  10. The Mid-Rise type is so called because the origin lies in the middle of a raising part of the stair-case like graph. The quantization levels in this type are even in number. • The Mid-tread type is so called because the origin lies in the middle of a tread of the stair-case like graph. The quantization levels in this type are odd in number. • Both the mid-rise and mid-tread type of uniform quantizers are symmetric about the origin.

  11. Quantization Example Analogue signal Sampling TIMING Quantization levels. Quantized to 5-levels Quantization levels Quantized 10-levels

  12. PCM encoding example Levels are encoded using this table Table: Quantization levels with belonging code words M=8 Chart 2. Process of restoring a signal. PCM encoded signal in binary form: 101 111 110 001 010 100 111 100 011 010 101 Total of 33 bits were used to encode a signal Chart 1. Quantization and digitalization of a signal. Signal is quantized in 11 time points & 8 quantization segments.

  13. Encoding • The output of the quantizer is one of M possible signal levels. • If we want to use a binary transmission system, then we need to map each quantized sample into an n bit binary word. • Encoding is the process of representing each quantized sample by a  bit code word. • The mapping is one-to-one so there is no distortion introduced by encoding. • Some mappings are better than others. • A Gray code gives the best end-to-end performance. • The disadvantage of Gray codes is that they will give poor performance when the sign bit (MSB) is received in error.

  14. Gray Codes • With gray codesadjacent samples differ only in one bit position. • Example (3 bit quantization): XQ Natural coding Gray Coding +7 111 110 +5 110 111 +3 101 101 +1 100 100 -1 011 000 -3 010 001 -5 001 011 -7 000 010 • With this gray code, a single bit error will result in an amplitude error of only 2. • Unless the MSB is in error.

  15. Waveforms in a PCM system for M=8 M=8 (a) Quantizer Input output characteristics (b) Analog Signal, PAM Signal, Quantized PAM Signal (c) Error Signal (d) PCM Signal

  16. PCM Transmission System

  17. To implement the analog-to-digital converter (ADC) • encoding operation • Counting or ramp encoder • Serial or successive approximation encoder • Parallel or flash encodes • In the counting encoder, at the same time the sample • is taken, a ramp generator is energized (started) • and a binary counter is started. The output of the • Ramp generator is continuously compared with the • sample value • When the ramp value equals the sample value the • binary value of the counter is read. This count is • Taken as the PCM word. • Speed of this type ADC is limited with the speed of • The counter.

  18. Practical PCM Circuits • The counting or ramp, ( Maxim ICL7126 ADC) • Serial or successive approximation, (AD 570) • Parallel or flash encoders. ( CA3318) • The objective of these circuits is to generate the PCM word. • Parallel digital output obtained (from one of the above techniques) needs to be serialized before sending over a 2-wire channel • This is accomplished by parallel-to-serial converters [Serial Input-Output (SIO) chip] • UART, USRT and USART are examples for SIO’s

  19. Bandwidth of PCM Signals

More Related