Introduction to digital communication

• Describe signals in general in relation to communication systems
• Explain the difference between analog signals and digital signals, and between periodic and non-periodic signals
• Describe sampling and reconstruction of signals and explain the sampling theorem for deterministic signals
• Explain quantization, including the difference between linear and non-linear quantization
• Describe how signals can be represented in both time-domain and frequency domain, and the purpose of Fourier transform in relation to these different domains
• Describe what characterizes a linear system and the relation between a linear system’s impulse response and transfer function
• Explain how information can be transferred with pulses and how pulses are detected in the presence of noise
• Describe amplitude modulation and phase modulation in both time domain and frequency domain
• Use MATLAB for calculations on simple communication systems

Introduction to analysis and processing of deterministic signals. Sampling and quantization. The sampling theorem. Introduction to linear systems and electric circuits. Transmission with pulses. Optimal detection of pulses. Intersymbol interference. Nyquist’s theorem. Orthogonal signals. Modulation. Channel models for metallic and optical transmission lines and radio channels

01005, 01005 (at the same time)

Lectures, exercises and mandatory assignments