Difference between revisions of "Signal Representation"

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The book focuses on the mathematical description of typical signals in communications engineering, which can alternatively be in the time or frequency domain.
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===Brief summary===
*The spectral transformations which are exclusively applicable to causal signals and systems are not treated in this book <br>&nbsp; &nbsp; (for example:&nbsp; Laplace transform,&nbsp; Z-transform,&nbsp; Hilbert transform).
 
*Here we refer to the book&nbsp;[[Lineare_zeitinvariante_Systeme|$\text{Linear and Time-Invariant Systems}$]]&nbsp;.
 
  
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{{BlueBox|TEXT=The book focuses on the mathematical description of typical signals in Communications Engineering,&nbsp; which can be done alternatively in the time or frequency domain:
 +
# Components of communication systems and classification of different signals.
 +
# The Fourier series for the description of periodic signals  with the special case&nbsp; &raquo;harmonic oscillation&laquo;&nbsp; and the limiting case&nbsp; &raquo;direct current signal&laquo;.
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# The laws of the Fourier transform for describing aperiodic&nbsp; $($impulsive$)$&nbsp; signals and their spectra;&nbsp; first and second Fourier integral.
 +
# Peculiarities of band-pass signals and their description by the analytical signal and the equivalent low-pass signal.
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# Discrete Fourier transform for the description of discrete-time signals;&nbsp; application for spectral analysis;&nbsp; FFT as an efficient computer implementation.
  
The subject matter corresponds to a&nbsp; $\text{lecture with two semester hours per week (SWS) and one additional SWS exercise}$. 
 
  
Here is a table of contents based on the&nbsp; $\text{five main chapters}$&nbsp; with a total of&nbsp; $\text{19 individual chapters}$.
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The spectral transforms&nbsp; $($Laplace transform,&nbsp; z-transform,&nbsp; Hilbert transform$)$&nbsp; applicable exclusively to causal signals and systems are not treated in this book.&nbsp; Here we refer to the book&nbsp; [[Lineare_zeitinvariante_Systeme|&raquo;Linear and Time Invariant Systems&laquo;]].
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&rArr; &nbsp; First a&nbsp; &raquo;'''content overview'''&laquo;&nbsp; on the basis of the&nbsp; &raquo;'''five main chapters'''&laquo;&nbsp; with a total of&nbsp; &raquo;'''19 individual chapters'''&laquo;&nbsp; and&nbsp; &raquo;'''127 sections'''&laquo;.}}
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===Contents===
 
===Contents===
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*[[/Principles of Communication/]]
 
*[[/Principles of Communication/]]
 
*[[/Signal Classification/]]
 
*[[/Signal Classification/]]
*[[/Calculating With Complex Numbers/]]
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*[[/Calculating with Complex Numbers/]]
 
}}
 
}}
 
{{Collapse2 | header=Periodic Signals
 
{{Collapse2 | header=Periodic Signals
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{{Collapse3 | header=Aperiodic Signals - Pulses
 
{{Collapse3 | header=Aperiodic Signals - Pulses
 
|submenu=
 
|submenu=
*[[/Fourier Transform and its Inverse/]]
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*[[/The Fourier Transform and its Inverse/]]
 
*[[/Special Cases of Pulses/]]
 
*[[/Special Cases of Pulses/]]
*[[/Fourier Transform Theorems/]]
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*[[/The Fourier Transform Theorems/]]
 
*[[/The Convolution Theorem and Operation/]]
 
*[[/The Convolution Theorem and Operation/]]
 
}}
 
}}
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*[[/Equivalent Low-Pass Signal and its Spectral Function/]]
 
*[[/Equivalent Low-Pass Signal and its Spectral Function/]]
 
}}
 
}}
{{Collapse5 | header=Time and Frequency-Discrete Signal Representation
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{{Collapse5 | header=Time-Discrete and Frequency-Discrete Signal Representation
 
|submenu=
 
|submenu=
*[[/Time Discrete Signal Representation/]]
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*[[/Discrete-Time Signal Representation/]]
 
*[[/Discrete Fourier Transform (DFT)/]]
 
*[[/Discrete Fourier Transform (DFT)/]]
 
*[[/Possible Errors when using DFT/]]
 
*[[/Possible Errors when using DFT/]]
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{{Collapsible-Fuß}}
 
{{Collapsible-Fuß}}
  
In addition to these theory pages, we also offer tasks and multimedia modules on this topic, which could help to clarify the teaching material:
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===Exercises and multimedia===
*[https://en.lntwww.de/Category:Signal_Representation:_Exercises  $\text{Exercises}$]
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*[[LNTwww:Learning_Videos_Related_to_Signal_Representation|$\text{Learning videos}$]]
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{{BlaueBox|TEXT=
*[[LNTwww:Applets_Related_to_Signal_Representation|$\text{New designed Applets}$]]&nbsp; (based on HTML5 and JavaScript, also executable on smartphones)
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In addition to these theory pages,&nbsp; we also offer exercises and multimedia modules on this topic,&nbsp; which could help to clarify the teaching material:
<br><br>
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$\text{Further links:}$
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$(1)$&nbsp; &nbsp; [https://en.lntwww.de/Category:Signal_Representation:_Exercises  $\text{Exercises}$]
<br><br>
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$(1)$&nbsp; &nbsp; [[LNTwww:Literaturempfehlung_zu_Signaldarstellung|$\text{Recommended reading for the book}$]]
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$(2)$&nbsp; &nbsp; [[LNTwww:Learning_Videos_Related_to_Signal_Representation|$\text{Learning videos}$]]
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$(3)$&nbsp; &nbsp; [[LNTwww:Applets_Related_to_Signal_Representation|$\text{Applets}$]]&nbsp;}}
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===Further links===
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{{BlaueBox|TEXT=
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$(4)$&nbsp; &nbsp; [[LNTwww:Bibliography_to_Signal_Representation|$\text{Bibliography}$]]
  
$(2)$&nbsp; &nbsp; [[LNTwww:Weitere_Hinweise_zum_Buch_Signaldarstellung|$\text{General notes about the book}$]] &nbsp; (authors,&nbsp; other participants,&nbsp; materials as a starting point for the book,&nbsp; list of sources)
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$(5)$&nbsp; &nbsp; [[LNTwww:Imprint_for_the_book_"Signal_Representation"|$\text{Impressum}$]]}}
 
<br><br>
 
<br><br>
  

Latest revision as of 19:31, 24 March 2023

Brief summary

The book focuses on the mathematical description of typical signals in Communications Engineering,  which can be done alternatively in the time or frequency domain:

  1. Components of communication systems and classification of different signals.
  2. The Fourier series for the description of periodic signals with the special case  »harmonic oscillation«  and the limiting case  »direct current signal«.
  3. The laws of the Fourier transform for describing aperiodic  $($impulsive$)$  signals and their spectra;  first and second Fourier integral.
  4. Peculiarities of band-pass signals and their description by the analytical signal and the equivalent low-pass signal.
  5. Discrete Fourier transform for the description of discrete-time signals;  application for spectral analysis;  FFT as an efficient computer implementation.


The spectral transforms  $($Laplace transform,  z-transform,  Hilbert transform$)$  applicable exclusively to causal signals and systems are not treated in this book.  Here we refer to the book  »Linear and Time Invariant Systems«.

⇒   First a  »content overview«  on the basis of the  »five main chapters«  with a total of  »19 individual chapters«  and  »127 sections«.


Contents

Exercises and multimedia

In addition to these theory pages,  we also offer exercises and multimedia modules on this topic,  which could help to clarify the teaching material:

$(1)$    $\text{Exercises}$

$(2)$    $\text{Learning videos}$

$(3)$    $\text{Applets}$ 


Further links