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Information Transfer
Last Updated: 2026-02-05 15:02:44
Abstract
An introductory course to digital communications in the presenceof noise. Topics include Pulse Amplitude Modulation, Power SpectralDensity, Spectral Efficiency, Quadrature Amplitude Modulation, SignalSpace, the Gram-Schmidt procedure, Complete Orthonormal Systems,Hypothesis Testing, Sufficient Statistics, Gaussian StochasticProcesses, White Noise, and the Matched Filter.
Objective
This is an introductory class to the field of wired and wireless communication. It offers a glimpse at classical analog modulation (AM, FM), but mainly focuses on aspects of modern digital communication, including modulation schemes, spectral efficiency, power budget analysis, block and convolu- tional codes, receiver design, and multi- accessing schemes such as TDMA, FDMA and Spread Spectrum.
Content
- Analog Modulation (AM, FM, DSB). - A block diagram of a digital cellular mobile phone system. - The Nyquist Criterion for no ISI and the Matched Filter. - Counting bits/dimension, bits/sec, bits/sec/Hz in base-band. - Power Spectral Density, and the "energy- per-bit" parameter. - Passband communication (QAM). - Detection in white Gaussian noise. - Sufficient statistics. - The Chernoff and Bhattacharyya bounds. - Signals as a vector space: continuous time Inner products and the Gram-Schmidt algorithm. - Block and Convolutional Codes for the Gaussian channel. - Multi-accessing schemes such as FDMA, TDMA, and CDMA
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Information Transfer |
|
4 h weekly |
Offered In
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6. Semester (Die Studierenden im MS-Programm haben freie Auswahl aus dem Angebot der Kernfächer)
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