Table of Contents
1 Cover
4 Foreword
5 Part 1: Theory of Information Introduction to Part 1 1 Introduction to Telecommunications 1.1. Role of a communication system 1.2. Principle of communication 1.3. Trend towards digital communications 2 Measurement of Information of a Discrete Source and Channel Capacity 2.1. Introduction and definitions 2.2. Examples of discrete sources 2.3. Uncertainty, amount of information and entropy (Shannon’s 1948 theorem) 2.4. Information rate and redundancy of a source 2.5. Discrete channels and entropies 2.6. Mutual information 2.7. Capacity, redundancy and efficiency of a discrete channel 2.8. Entropies with k random variables 3 Source Coding for Non-disturbance Channels 3.1. Introduction 3.2. Interest of binary codes 3.3. Single decoding codes 3.4. Average codeword length 3.5. Capacity, efficiency and redundancy of a code 3.6. Absolute optimal codes 3.7. K-order extension of a source 3.8. Shannon’s first theorem 3.9. Design of optimal binary codes 4 Channel Coding for Disturbed Transmission Channels 4.1. Introduction 4.2. Shannon’s second theorem (1948) 4.3. Error correction strategies 4.4. Classification of error detection codes or error correction codes 4.5. Definitions related to code performance 4.6. Form of the decision 4.7. Linear group codes 4.8. Cyclic codes 4.9. Linear feedback shift register (LFSR) and its applications
6
Part 2: Baseband Digital Transmissions and with Carrier Modulation
Introduction to Part 2
5 Binary to M-ary Coding and M-ary to Signal Coding: On-line Codes
5.1. Presentation and typology
5.2. Criteria for choosing an on-line code
5.3. Power spectral densities (PSD) of on-line codes
5.4. Description and spectral characterization of the main linear on-line codes with successive independent symbols
5.5. Description and spectral characterization of the main on-line non-linear and non-alphabetic codes with successive dependent symbols
5.6. Description and spectral characterization of partial response linear codes
6 Transmission of an M-ary Digital Signal on a Low-pass Channel
6.1. Introduction
6.2. Digital systems and standardization for high data rate transmissions
6.3. Modeling the transmission of an M-ary digital signal through the communication chain
6.4. Characterization of the intersymbol interference: eye pattern
6.5. Probability of error Pe
6.6. Conditions of absence of intersymbol interference: Nyquist criteria
6.7. Optimal distribution of filtering between transmission and reception
6.8. Transmission with a partial response linear coder
7 Digital Transmissions with Carrier Modulation
7.1. Introduction and schematic diagram of a digital radio transmission
7.2. Multiple access techniques and most common standards
7.3. Structure of a radio link, a satellite link and a mobile radio channel
7.4. Effects of multiple paths and non-linearities of power amplifiers
7.5. Linear digital carrier modulations
7.6. Quadrature digital linear modulations: general structure of the modulator, spatial diagram, constellation diagram and choice of a constellation
7.7. Digital radio transmission and equivalent baseband digital transmission: complex envelope
7.8. Equivalent baseband transmission, interest and justification: analytical signal and complex envelope
7.9. Relationship between band-pass filter H and equivalent low-pass filter He
7.10. M-ary