- Cover
- Title page
- Copyright
- Foreword
- PART 1: Tutorials
- 1 Theory of Information: Problems 1 to 15
- 1.1. Problem 1 – Entropy
- 1.2. Problem 2 – K-order extension of a transmission channel
- 1.3. Problem 3 – Compressed speech digital transmission and Huffman coding
- 1.4. Problem 4 – Coding without and with information compression
- 1.5. Problem 5 – Digital transmission of a TV signal (luminance component only) with information compression and Huffman coding
- 1.6. Problem 6 – Information, entropy, codes (1)
- 1.7. Problem 7 – Information, entropy, codes (2)
- 1.8. Problem 8 – Coding and transmission of a television-type information source
- 1.9. Problem 9 – Entropy and motion information encoding of multimedia source
- 1.10. Problem 10 – Hamming coding
- 1.11. Problem 11 – Cyclic coding (1)
- 1.12. Problem 12 – Cyclic coding (2)
- 1.13. Problem 13 – Cyclic coding and Hamming coding (1)
- 1.14. Problem 14 – Cyclic coding and Hamming coding (2)
- 1.15. Problem 15 – Cyclic code, M-sequences, and Gold sequences
- 2 Baseband Digital Transmission: Problems 16 to 26
- 2.1. Problem 16 – Entropy and information to signal source coding
- 2.2. Problem 17 – Calculation of autocorrelation function and power spectral density by probabilistic approach of RZ and NRZ binary on-line codes
- 2.3. Problem 18 – Calculation of the autocorrelation function and the power spectral density by probabilistic approach of the bipolar RZ code
- 2.4. Problem 19 – Transmission using a partial response linear coding
- 2.5. Problem 20 – Signal information coding and digital transmissions with partial response linear encoder
- 2.6. Problem 21 – Baseband digital transmission system (1)
- 2.7. Problem 22 – Baseband digital transmission (2)
- 2.8. Problem 23 – M-ary digital baseband transmission
- 2.9. Problem 24 – Baseband digital transmission of bipolar coded information
- 2.10. Problem 25 – Baseband transmission and reception using a partial response linear coding (1)
- 2.11. Problem 26 – Baseband transmission and reception using a partial response linear coding (2)
- 3 Digital Transmissions with Carrier Modulation: Problems 27 to 33
- 3.1. Problem 27 – Digital transmissions with carrier modulation
- 3.2. Problem 28 – 4-QAM digital modulation transmission (1)
- 3.3. Problem 29 – Digital transmissions with 2-ASK modulation
- 3.4. Problem 30 – 4-QAM digital modulation transmission (2)
- 3.5. Problem 31 – Digital transmissions with 4-QAM digital modulation: case of single and double paths propagation
- 3.6. Problem 32 – Performance of digital modulations and 16-QAM digital modulation
- 3.7. Problem 33 – QAM encoding and transmission of motion information of digital video
- PART 2: Practical Works
- 4 Study of the Transmission of Digital Information on Two-wire Cables
- 4.1. Introduction
- 4.2. Recall of essential results on transmission line theory
- 4.3. Practical study
- 4.4. Objectives
- 4.5. Measurement of the characteristic impedance Zc by a reflectometry method (Time Domain Reflectometry: TDR)
- 4.6. Measurement of attenuation α as a function of frequency
- 4.7. Variation of the attenuation α as a function of length
- 4.8. Measurement of the bitrate D (bit/s)
- 5 Study of Baseband Digital Transmission Systems for the Transmission of Analog Signals (Transmitter and Receiver)
- 5.1. Objectives
- 5.2. First part – Study of a pulse amplitude modulation and time division multiplex signal transmission system
- 5.3. Second part – Study of a pulse code modulation (PCM) signal transmission system and transmission error control (error detector code and error corrector code)
- 6 Study of On-line Codes for Baseband Modulation and Carrier Modulation
- 6.1. Objectives
- 6.2. Description of the electronic boards
- 6.3. First part – Study of on-line codes for baseband digital transmission
- 6.4. Second part – Study of digital modulations with carrier
- 7 Study of a QPSK Modem Under MATLAB, Simulink, Communications and DSP
- 7.1. Objective
- 7.2. Required work
- 7.3. Appendix: Diagrams of the QPSK modem and its different blocks
- 8 Study of a Coding and Decoding System by Cyclic Codes
- 8.1. Objective
- 8.2. Recall of the principles of cyclic coding and decoding
- 8.3. Coding by division: systematic code
- 8.4. Decoding by division: principle of calculating the syndrome
- 8.5. Required work
- 8.6. Appendix: Block diagrams
- References
- Index
- End User License Agreement
Digital Communications 2
Directed and Practical Work
Safwan El Assad
Dominique Barba
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