Communication 1

Digital signal transmission• Time-Frequency duality (Fourier Series and transforms)• Sampling theorem
• Nyquist frequency
• Pulse Amplitude Modulation
• Pulse Code Modulation
• Uniform and non-uniform quantizing
• PCM bandwidth, practical PCM circuits
• Effects of noise
• Multilevel transmission
• Line coding
• Power spectra and spectral efficiency
• Clock extraction ()
• Eye patterns ()
• Repeaters and their effect
• Bit synchronization ()
• Inter-symbol interference
• Nyquist pulse shaping ( )
• Raised-Cosine- Roll off Filtering
Analog modulation• Amplitude modulation
• Double sideband modulation
• Single sideband modulation
• Phase- and frequency modulation
• Spectra of modulated signals,
• Transmitters and receivers, mixers, PLLs, filters, limiters
• Carrier recovery ()
• Detectors
• Super-heterodyne receiver ()
The Physical channel• Wireless communication- Wireless propagation, Frii’s Law- Antenna gain and effective area- Link budget analysis

• Fading• Optical fibre communication- Optical fibres
• Geometric analysis (ray analysis)
• EM wave analysis (fibre modes)
• Fibre types
• Fibre dispersion
• Fibre attenuation
  (*) – only introduced as a concept. Will not be handled in assignments or exams!

Through an intensive program of lectures and guided self-work students will acquire a broad understanding of the basic mathematical and physical concepts underlying modern communication systems. Classes will be complemented by hand-on labs where students will experiment with real world radios and signal generators and analyzers. Specifically, student will:1. Understand and able to use continuous Fourier analysis to convert between time and frequency representation of signals.
2. Understand the concept of signal sampling and the implication of Nyquist theory.
3. Understand the difference between ideal sampling and gating and flat top sampling both physically and conceptually
4. Apply the theorem to be able to calculate the impact of digitization (quantization) on the performance of signal transmission.
5. Apply Shannon-Hartley theorem for channel capacity and analyze the different impacts on maximum capacity.
6. Understand the concept of line-coding and the impact the choice of line-coding has on the spectral density of randomly coded messages.
7. Understand basic concept of distance between code words and error correction and detection techniques.
8. Understand the concept of inter-symbol interference (ISI) and how it can be mitigated using spectral/temporal shaping of pulses.
9. Understand how complex waveforms can be expressed using Phasors and constellation diagrams
10. Understand the difference between base band and pass band communication systems
11. Apply the basic concept of amplitude phase and frequency modulation to passband transmission
12. Analyze the basic principles behind the physical layer for wireless and wired (optical) transmission including losses, and different distortion mechanisms (dispersion and fading)

Calculus (2WBB0) and Signals and Systems (5ESF0)

• E-book: Digital and Analog Communications systems – Leon W. couch (Available from TU/e library)
• E-book: Wireless Communications: Principles and Practice – Theodore Rappaport (Available from TU/e library)