Communication Theory, 5 op

Core content

• SIGNALS AND COMMUNICATION SYSTEMS
  ** signal spectrum and related concepts; ability to think and understand the behaviour of signals and systems in frequency domain; Fourier transform, correlation analysis and spectral density
  ** random signals and noise; 1st and 2nd order statistics and their significance; probability densities; random signals and spectral density
  ** signal distortion in transmission; various distortion types and their significance
  ** transmission system design and the crucial resources and boundaries; bandwidth, power and energy
• BANDPASS SIGNALS AND SYSTEMS
  ** understanding and expressing bandpass signals; envelope and phase functions; I/Q representation
  ** real and complex signals; lowpass equivalent signals and systems; analytic signals and Hilbert transform
  ** use of complex signals in communications systems; analysis vs. implementation
• CARRIER MODULATION
  ** the concept of carrier modulation and how to use the different degrees of freedom that generic bandpass signals have for carrier modulationi
  ** concepts of I/Q modulator, I/Q demodulator
  ** concepts of envelope detector and frequency detector
  
• SIGNAL SAMPLING
  ** continuous waveforms and their disrete-time samples; mathematical models for sampling; discrete sequence of numbers vs. impulse train model; spectral contents of sampled signals
  ** sampling theorem; lowpass vs. bandpass sampling
• DIGITAL MODULATION AND DIGITAL COMMUNICATION BASICS
  ** discrete information and analog channels; bits, symbols and waveforms
  ** baseband pulse amplitude modulation (PAM); line coding and Nyquist pulse shaping; symbol alphabets; intersymbol interference (ISI)
  ** carrier modulation in digital communication; linear digital I/Q modulation; digital frequency modulation; digital multicarrier modulation (OFDM)
  ** fundamentals of multiantenna/MIMO techniques
  ** digital vs. analog transmission, pros and cons
• INFORMATION THEORY BASICS
  ** basic concepts of information theory, namely information, entropy and mutual information
  ** information theory and source coding
  ** channel capacity; most fundamental limits imposed by noise, bandwith and power on all electrical and electromagnetic communications
  ** Shannon capacity laws

Complementary knowledge

• - analytic signals and Hilbert transform and their significance and applications in communications signal processing in general
  - complex filters and filtering

Specialist knowledge

• "old"/historic analog modulation methods and their analysis in e.g. noisy channels