Difference between revisions of "Signal Representation"
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*[[/Signal Classification/]] | *[[/Signal Classification/]] | ||
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{{Collapse5 | header=Time and Frequency-Discrete Signal Representation | {{Collapse5 | header=Time and Frequency-Discrete Signal Representation | ||
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*[[/Discrete Fourier Transform (DFT)/]] | *[[/Discrete Fourier Transform (DFT)/]] | ||
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*[[/Spectrum Analysis/]] | *[[/Spectrum Analysis/]] | ||
*[[/Fast Fourier Transform (FFT)/]] | *[[/Fast Fourier Transform (FFT)/]] |
Revision as of 12:38, 15 June 2021
The book focuses on the mathematical description of typical signals in communications engineering, which can alternatively be in the time or frequency domain.
- The spectral transformations which are exclusively applicable to causal signals and systems are not treated in this book
(for example: Laplace transform, Z-transform, Hilbert transform). - Here we refer to the book $\text{Linear and Time-Invariant Systems}$ .
The subject matter corresponds to a $\text{lecture with two semester hours per week (SWS) and one additional SWS exercise}$.
Here is a table of contents based on the $\text{five main chapters}$ with a total of $\text{19 individual chapters}$.
Contents
In addition to these theory pages, we also offer tasks and multimedia modules on this topic, which could help to clarify the teaching material:
- $\text{Exercises}$
- $\text{Learning videos}$
- $\text{New designed Applets}$ (based on HTML5 and JavaScript, also executable on smartphones)
$\text{Further links:}$
$(1)$ $\text{Recommended reading for the book}$
$(2)$ $\text{General notes about the book}$ (authors, other participants, materials as a starting point for the book, list of sources)