Study Guide

Objective

After completing the course the student:
- understands how digital signals are created and what limits there are in time and frequency domain
- understands BER and the difference between bit rate and bandwidth
- is familiar with modern digital modulation schemes (QAM, OFDM etc.)
- can sketch constellation chart
- understands noise behaviour and its influence in digital systems
- is familiar with measurement equipment

Content

- Digital signal and sampling andquantization,
- Digital video signal in DTV,
- BER,
- Quadrature signal,
- Constellation chart,
- Modulation from analog to modern digital variations (QAM, OFDM, tms),
- Noise in systems andC/N,
- System adjustments to performance
- Laboratory exercises (Sampling in time and frequency domain, Noise measurements)

Materials

Lesson material mainly,
reading:
Carlson, Crilly; Communication Systems. 5th edition,
J.H.McClellan, R.W.Schafer, M.A.Yoder; Signal Prosessing First

Teaching methods

Lessons
Laboratory exercises (Sampling in time and frequency domain, Noise measurements)

International connections

Topics are covered in lessons and confirmed with laboratory works

Student workload

Lessons and laboratory works 40 h
Homeworks and preparations for labs and exam 80h

Content scheduling

Digital signal and sampling, quantization, Digital video signal in DTV, BER, Quadrature signal, Constellation chart, Modulation from analog to modern digital variations (QAM, OFDM, tms), Noise in systems, C/N, System adjustments to performance

Evaluation scale

H-5

Assessment methods and criteria

Exam 0-5
Home work points minimum 30%

Assessment criteria, satisfactory (1-2)

• Understands how digital signals are created and what limits there are in time and frequency domain
• understands BER and the difference between bitrate and bandwidth
• is familiar with measurement equipment

Assessment criteria, good (3-4)

Is familiar with modern digital modulation schemes (QAM, OFDM etc.)
Can sketch constellation chart
Can calculate basic digital signals spectrum

Assessment criteria, excellent (5)

Understands and can calculate Noise power and its influence in systems