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Basics of digital telecommunications systems
  • Basics of digital telecommunications systems
ID: 32940
Krzysztof Wesołowski
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Author: Krzysztof Wesołowski

ISBN: 83-206-1508-9, 978-83-206-1508-1
Format: B5, 408 pages
Publisher: WKiŁ

About the book
The subject of the book are the theoretical foundations of digital telecommunications systems. It discusses the basic elements of information theory and channel coding, transmission methods in the basic band and in bandwidth channels. The physical properties of the most important transmission channels are presented. The basic principles of systems with spectrum dissipation and synchronization systems are also presented.
The book is intended for students of Electronics and Telecommunications. It can also be useful for engineers who want to expand their knowledge in the field of digital telecommunications systems.

Table of Contents


1. Elements of information theory
1.1. Introduction
1.2. Basic concepts
1.3. Model of the communication system
1.4. The concept of information and the measure of its quantity
1.5. Sources of messages and their coding
1.5.1. Models of discrete message sources
1.5.2. A discrete, memory-free source
1.5.3. Extension of a non-memory source
1.5.4. Sources of Markov sequences
1.5.5. Entropy of the source of Markov's sequences
1.5.6. Source associated with the source of Markov series
1.6. Encoding of discrete sources
1.6.1. Huffman coding
1.6.2. Shannon-Fano coding
1.6.3. Dynamic Huffman coding
1.6.4. Arithmetic coding
1.6.5. Lempel-Ziva algorithm
1.6.6. Source coding in telefax transmission
1.7. Channel models from the point of view of information theory
1.7.1. A discrete, memory-free channel
1.7.2. Examples of models of discrete memory-free channels
1.7.3. Example of a binary model with memory
1.8. The concept of the average amount of mutual information
1.9. Ownership of the average amount of mutual information
1.10. Channel capacity
1.11. The decision-making process and its principles
1.11.1. The concept of a decision rule
1.11.2. A posteriori (MAP) maximum probability rule
1.11.3. Maximum likelihood rule
1.12. The concept of differential entropy and the average amount of mutual continuous information
1.13. Bandwidth of limited bandwidth with additive Gaussian noise
1.14. Bandwidth of the channel with a given frequency response
1.15. Bandwidth of the channel with flat atrophies

2. Channel coding
2.1. The idea of channel coding
2.2. Classification of codes
2.3. Hard and soft decoding decoding
2.4. Coding profit
2.5. Block codes
2.5.1. The parity check matrix
2.5.2. Generating matrix
2.5.3. Syndrome
2.5.4. Hamming codes
2.5.5. Iterated code 2.5.6. Polynomial codes
2.5.7. Generating code sequences of polynomial codes
2.5.8. Cyclic codes
2.5.9. Polynomial for cyclic code parity check
2.5.10. Polynomial codes specified by elements
2.5.11. Polynomial syndrome
2.5.12. BCH codes
2.5.13. Reed-Solomon codes
2.5.14. Golay codes
2.5.15. Codes with maximum length
2.5.16. Code modifications
2.6. Non-algebraic methods of decoding linear block codes
2.6.1. Meggitta decoder
2.6.2. Major decoder
2.6.3. Decoding codes using information sets
2.7. Algebraic methods of decoding cyclic codes
2.8. The convolutional codes and their description
2.8.1. Description of convolutional codes
2.8.2. Code passage function
2.8.3. Weave codes with efficiency k / n
2.9. Decoding of convolutional codes
2.9.1. Viterbi algorithm
2.9.2. Error analysis of the Viterbi decoder
2.9.3. An example of non-algebraic decoding of convolutional codes
2.10. Cascading encoding
2.11. turbo codes
2.11.1. RSCC code
2.11.2. Diagram of the turbocod encoder
2.11.3. Decoding of the RSCC code according to the MAP rule
2.11.4. The turbodecoding algorithm
2.12. LDPC codes
2.13. Application of block codes for error detection
2.14. Application of error detection - ARQ procedures

3. Digital transmission in the basic band
3.1. Introduction
3.2. Selection of the shape of elementary signals
3.3. Selection of data symbols format
3.4. The optimal synchronous receiver
3.4.1. Optimal reception of binary signals
3.4.2. Optimal reception of multi-valued signals
3.5. Probability of error on the output of the optimal receiver of binary signals
3.6. Probability of error on the output of the optimal receiver of M-PAM signals
3.7. Spectral power density of pulses

4. Digital sinusoidal modulation
4.1. Introduction
4.2. Synchronous reception
4.3. Optimal non-synchronous reception
4.4. ASK modulation
4.4.1. Synchronous reception of ASK signals
4.4.2. Asynchronous reception of ASK signals
4.4.3. Probability of error on the output of the non-synchronous ASK receiver
4.5. FSK modulation
4.5.1. Synchronous reception of FSK signal - discussion
4.5.2. Non-synchronous reception of a signal with FSK modulation
4.5.3. Probability of error at the output of the non-synchronous FSK signal receiver
4.5.4. Suboptimizing the FSK signal using a frequency discriminator
4.6. Modulation of the PSK phase
4.7. Linear approach to digital modulation - multi-valued PSK modulation
4.8. Differential modulation of the DPSK phase
4.8.1. DPSK modulation with differential coding and synchronous detection
4.8.2. Non-synchronous reception methods with DPSK modulation
4.8.3. Probability of optimal error of an unsynchronous DPSK signal receiver - discussion
4.9. Comparison of divalent modulations
4.10. Digital modulation of phase and amplitude - QAM modulation
4.10.1. General thoughts
4.10.2. Probability of error for QAM
4.10.3. Multivariate modulations
4.11. Continuous envelope digital modulation - continuous phase modulation (CPM)
4.12. Modulations with TCM mesh coding
4.12.1. Description of signals with lattice coding
4.12.2. Decoding signals with lattice coding
4.13. Multi-tone modulations
4.14. The impact of a non-linear system on signals

5. Properties of transmission channels
5.1. Introduction
5.2. An equivalent channel in the basic band
5.3. Telephone channel
5.3.1. The basic structure of the telephone network from the point of view of channel ownership
5.3.2. Properties of the telephone channel
5.4. Properties of the subscriber loop
5.5. Channel of horizontal radio lines
5.6. Radio channel of the mobile radiocommunication system
5.7. Selected examples of other radio channels
5.7.1. WLAN channel
5.7.2. Channel in satellite transmission
5.7.3. Shortwave channel
5.8. Basic properties of fiber optic channel
5.9. Summary

6. Transmission of digital signals through channels with inter-symbol interference
6.1. Introduction
6.2. Inter-symbol interference
6.3. Linear equalizers
6.3.1. Corrector ZF
6.3.2. Corrector MSE
6.3.3. LS equalizers
6.3.4. Selection of the test signal
6.3.5. Linear correctors with adaptation without using a test train
6.4. Nonlinear concealers
6.4.1. Correction with decisive feedback
6.4.2. Channel with inter-symbol interference as an automaton
6.4.3. Non-linear receiver operating according to the maximum likelihood criterion
6.4.4. Sequential suboptimal receivers - examples

7. Systems with spectrum scattering
7.1. Introduction
7.2. Generation of pseudo-random sequences
7.2.1. Sequences with maximum length
7.2.2. Gold's strings
7.2.3. Barker strings
7.3. DS-SS systems with direct pseudorandom sequence scattering
7.4. RAKE receiver
7.5. FH-SS systems with carrier frequency hopping
7.6. TH-SS system with pseudorandom pulse position selection

8. Synchronization in digital telecommunications systems
8.1. Introduction
8.2. Phase synchronization loop for continuous signals
8.3. Phase synchronization loop for sampled signals
8.4. Carrier phase estimation according to the maximum likelihood principle
8.5. Practical carrier phase synchronization systems
8.5.1. Carrier phase synchronization systems without decision coupling
8.5.2. Carrier phase synchronization systems with decision coupling
8.6. Synchronization of the timing signal
8.6.1. Timing signal reproduction systems with decisive feedback
8.6.2. Timing signal reproduction systems without decision-feedback


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