Communication Systems: Fundamentals and Design Methods provides a rigorous mathematical treatment of modulations, covering well–established analog techniques, such as AM and FM, and the more advanced digital formats, such as QAM and CDMA. Using a probabilistic approach, the analytical evaluation of system performance gives rise to the key concept of ′link budget′, showing the role of transmit power, channel bandwidth and receiver noise level. Different systems are then compared on the basis of the above parameters.
- A thorough coverage of the basics of communication systems, without overemphasising new technologies which require a much deeper background
- Clearly outlined course track, derived from years of teaching experience
- Enriched by discussions and examples of implementation, and by a wide variety of almost 300 problems, with solutions provided in the companion website
- Includes coverage of deterministic and random signals, as well as transmission media and devices, passband signals, linear, amplitude, angular, digital and binary modulation.
The book is a perfect textbook for undergraduate students on electrical engineering, computer science and telecommunications courses, as well as graduate students, engineers and operators involved in the design and deployment of communication networks.
1 Preliminaries on Deterministic and Random Signals.
1.1 Time and frequency domain representation.
1.2 Energy and power.
1.3 Systems and transformations.
1.5 Representation of passband signals.
1.6 Random variables and vectors.
1.7 Random processes.
1.8 Systems with random inputs and outputs.
2 Characterization of Transmission Media and Devices.
2.1 Two–terminal devices.
2.2 Two–port networks.
2.3 Transmission system model.
2.4 Transmission media.
3 Analog Modulation Systems.
3.1 Principle and system model.
3.2 Linear modulation.
3.3 Amplitude modulation (AM).
3.4 Phase locked loop (PLL).
3.5 Angular modulation.
3.6 Comparison of analog modulation systems.
3.7 Frequency division multiplexing multiple access.
3.8 Super–heterodyne receiver.
3.9 Examples of application.
4 Digital Modulation Systems.
4.1 The space of signals.
4.2 Digital modulation theory.
4.3 Binary modulation.
4.4 M–ary modulation.
4.5 The digital modulation system.
4.6 Examples of digital modulations.
4.7 Comparison of digital modulation systems.
5 Digital Transmission of Analog Signals.
5.1 Digital representation of waveforms.
5.2 Digital transmission of analog signals.
5.3 Time division multiplexing (TDM).
5.4 Examples of application.
6 Transmission over Dispersive Channels.
6.1 Channel model.
6.2 Baseband digital transmission (PAM systems).
6.3 Passband digital transmission (QAM systems).
6.4 Analysis of amplitude modulated systems.
6.5 Intersymbol interference.
6.6 Performance analysis.
6.7 Application examples.
7 Elements of Information Theory, Source and Channel Coding.
7.1 Information and entropy.
7.2 Source coding.
7.3 Channel coding.
7.4 Channel capacity.